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Journal articles on the topic 'DWT'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Dabou, Raoult Teukam, Innocent Kamwa, Jacques Tagoudjeu, and Francis Chuma Mugombozi. "Sparse Signal Reconstruction on Fixed and Adaptive Supervised Dictionary Learning for Transient Stability Assessment." Energies 14, no. 23 (2021): 7995. http://dx.doi.org/10.3390/en14237995.

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Fixed and adaptive supervised dictionary learning (SDL) is proposed in this paper for wide-area stability assessment. Single and hybrid fixed structures are developed based on impulse dictionary (ID), discrete Haar transform (DHT), discrete cosine transform (DCT), discrete sine transform (DST), and discrete wavelet transform (DWT) for sparse features extraction and online transient stability prediction. The fixed structures performance is compared with that obtained from transient K-singular value decomposition (TK-SVD) implemented while adding a stability status term to the optimization probl

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Puneeth, Kumar D. N., and N. Eshwarappa M. "An Efficient DWT-DAPM Technique for PAPR Reduction in OFDM System." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 1691–93. https://doi.org/10.35940/ijeat.C5531.029320.

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In this paper, Discrete Wavelet Transform (DWT) Orthogonal Frequency Division Multiplexing (OFDM) system is compared with Discrete Cosine Transform (DCT) and Discrete Fourier Transform (DFT) OFDM systems. The channel noise is modelled with A white Gaussian Model (AWGN), the fading is the impairment in the channel and modelled by Rayleigh fading which is frequency selective fading channel and flat fading channel. The comparisons of Peak to Average Power Ratio (PAPR) and Bit Error Rate (BER) are made using modulation techniques such as Differential Amplitude and Phase Modulation (DAPM), Quadratu

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Amhar, Fahmi, Endang Purnama Giri, Florence Elfriede Sinthauli Silalahi, et al. "Ownership Protection on Digital Elevation Model (DEM) Using Transform-Based Watermarking." ISPRS International Journal of Geo-Information 11, no. 3 (2022): 200. http://dx.doi.org/10.3390/ijgi11030200.

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This research aims to protect Digital Elevation Model (DEM) data from piracy or counterfeiting. An invisible watermark inserted into the data, which will not considerably change the data value, is necessary. The proposed method involves the use of the two-dimensional discrete cosine transform (2D DCT), a combination of 2D DCT and discrete wavelet transform (DWT), and two-dimensional discrete Fourier transform (2D DFT) in the frequency domain. The data used include a National DEM file downloaded from the geoportal of the Geospatial Information Agency (Badan Informasi Geospasial—BIG). Three file

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4

Sujith, K. Satya. "High performance DA-based DCT, DWT and DHT." IOSR Journal of Applied Chemistry 5, no. 6 (2013): 64–70. http://dx.doi.org/10.9790/5736-0566470.

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Sujith, K. Satya. "High performance DA-based DCT, DWT and DHT." IOSR Journal of Electronics and Communication Engineering 8, no. 5 (2013): 52–58. http://dx.doi.org/10.9790/2834-0855258.

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Mousa Al-Khuzaay, Maryam I., and Waleed A. Mahmoud Al-Jawher. "New Proposed Mixed Transforms: CAW and FAW and Their Application in Medical Image Classification." International Journal of Innovative Computing 13, no. 1-2 (2023): 15–21. http://dx.doi.org/10.11113/ijic.v13n1-2.414.

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The transformation model plays a vital role in medical image processing. This paper proposed new two Mixed Transforms models that are the hybrid combination of linear and nonlinear Transformations techniques. The first mixed transform is computed in three steps: calculate 2D discrete cosine transform (DCT) of the image, and applying Arnold Transform (AT) on the DCT coefficients, and applying the discrete Wavelet Transform (DWT) on the result to get which was abbreviated as (CAW). The second mixed transform consists of firstly computing the discrete Fourier transform (DFT), net applying the Arn

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Tang, Ling, Ming Ju Chen, and Hong Song. "Hybrid Color Image Compression Using Discrete Cosine Transform and Discrete Wavelet Transform." Applied Mechanics and Materials 198-199 (September 2012): 244–48. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.244.

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In this research we undertake a study of image compression based on the discrete cosine transform(DCT) and discrete wavelet transform(DWT). Then a hybrid color image compression algorithm based on DCT and DWT is proposed. This algorithm is implemented through transform the color image using DWT in the YCbCr space first, and then DCT in the low frequency, adopt huffman coding, RLE and arithmetic coding in the encoded mode. In experiments, the results outperform the only DCT and the only DWT typically higher in peak signal-to-noise ratio and have better visual quality.

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Setyono, Andik, and De Rosal Ignatius Moses Setiadi. "Image watermarking using discrete wavelet-tchebichef transform." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 3 (2019): 1416. http://dx.doi.org/10.11591/ijeecs.v16.i3.pp1416-1423.

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<span>Image watermarking is one of the most popular techniques for authenticating copyright on the digital image. Many research on image watermarking has proved that the joint of Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) combinations can improve both imperceptibility and robustness when compared to DCT or DWT only. Discrete Tchebichef Transform (DTT) denotes an alternative transformation that has a similarity property with DCT. DTT has an advantage in reducing memory requirements during computing, so the calculation speed is much faster than DCT. This study tes

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Aulia, Suci, and Arif Setiawan. "PENGENALAN TULISAN TANGAN KARAKTER HIRAGANA MENGGUNAKAN DCT, DWT, DAN K-NEAREST NEIGHBOR." Jurnal Elektro dan Telekomunikasi Terapan 4, no. 1 (2017): 467. http://dx.doi.org/10.25124/jett.v4i1.993.

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Penelitian untuk mengenali karakter huruf hiragana berbasis image processing telah banyakdilakukan dan bahkan tingkat akurasi hampir mendekati 100%. Namun citra masukkan yangdigunakan masih berupa karakter huruf jepang hasil print-out sedangkan untuk masukkan berupatulisan tangan belum dilakukan. Maka pada penelitian ini diujikan pengenalan huruf hiragana yangberasal dari tulisan tangan berformat .jpeg. Dari beberapa strudi terkait, pendekatan kompresi yangpaling sering digunakan untuk citra JPEG adalah algoritma DCT dan DWT, sehingga keduaalgoritma tersebut digunakan pada penelitian ini untuk

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Apu Hosen, Md, Shahadat Hoshen Moz, Sk Shalauddin Kabir, Md Nasim Adnan, and Syed Md. Galib. "In-depth exploration of digital image watermarking with discrete cosine transform and discrete wavelet transform." Indonesian Journal of Electrical Engineering and Computer Science 33, no. 1 (2024): 581. http://dx.doi.org/10.11591/ijeecs.v33.i1.pp581-590.

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Digital image watermarking is a crucial technique used to protect the integrity and ownership of digital images by embedding imperceptible watermarks into the image content. This review concentrates on the utilization of discrete cosine transform (DCT) and discrete wavelet transform (DWT) in digital image watermarking schemes. DCT, widely used in image compression like JPEG, is an attractive choice for watermarking, modifying DCT coefficients with minimal impact on image quality. On the other hand, DWT offers multiresolution representation, enabling better localization and robustness against a

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Hosen, Md. Apu, Shahadat Hoshen Moz, Sk. Shalauddin Kabir, Md. Nasim Adnan, and Syed Md. Galib. "In-depth exploration of digital image watermarking with discrete cosine transform and discrete wavelet transform." Indonesian Journal of Electrical Engineering and Computer Science 33, no. 1 (2024): 581–90. https://doi.org/10.11591/ijeecs.v33.i1.pp581-590.

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Digital image watermarking is a crucial technique used to protect the integrity and ownership of digital images by embedding imperceptible watermarks into the image content. This review concentrates on the utilization of discrete cosine transform (DCT) and discrete wavelet transform (DWT) in digital image watermarking schemes. DCT, widely used in image compression like JPEG, is an attractive choice for watermarking, modifying DCT coefficients with minimal impact on image quality. On the other hand, DWT offers multiresolution representation, enabling better localization and robustness against a

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Jang, Bong-Joo, Sanghun Lim, Won Kim, and Huiseong Noh. "DCT and DWT based Damaged Weather Radar Image Retrieval." Journal of Korea Multimedia Society 20, no. 2 (2017): 153–62. http://dx.doi.org/10.9717/kmms.2017.20.2.153.

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Maulida, Kurnia. "Studi Komparasi Video Watermarking dengan Algoritma Discrete Wavelet Transform dan Discrete Cosine Transform." MATHunesa: Jurnal Ilmiah Matematika 8, no. 3 (2020): 254–60. http://dx.doi.org/10.26740/mathunesa.v8n3.p254-260.

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Perkembangan teknologi di era digital berkembang dengan sangat cepat setiap harinya. Dengan perkembangan teknologi digital saat ini, media sosial dapat memudahkan kita untuk mengakses serta mendistribusikan teks, gambar, video, dan lainnya. Risiko terjadinya kejahatan di video lebih tinggi dibandingkan dengan teks dan gambar. Digital watermarking dapat digunakan untuk melindungi informasi digital dari manipulasi dan distribusi illegal. Penyisipan watermark umumnya dilakukan dalam domain spasial atau domain frekuensi. Metode yang digunakan adalah Discrete Wavelet Transform (DWT) dan Discrete Co

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Faza, Aditya Mahmud, Cepy Slamet, and Dian Nursantika. "Analisis Kinerja Kompresi Citra Digital dengan Komparasi DWT, DCT dan Hybrid (DWT-DCT)." Jurnal Online Informatika 1, no. 1 (2016): 1. http://dx.doi.org/10.15575/join.v1i1.3.

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Sudrajat, Ari, and Ayu Hendrati Rahayu. "Watermarking using DCT and DWT on Pneumonia images." Journal of Applied Intelligent System 8, no. 3 (2023): 273–86. http://dx.doi.org/10.33633/jais.v8i3.8914.

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Watermarking is a branch of the data hiding technique. Watermarking is a technique used to insert a copyright label on an image, so that the copyright of the image can be protected. Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) are techniques that can be used to watermark. In this study, the Discrete Cosine Transform and Discrete Wavelet Transform methods will be used to watermark images to 5 different host images. In the tests carried out, watermarking techniques will be compared using DCT, DWT, DCT-DWT combination and DWT-DCT combination. The results obtained in this s

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He, Wen Juan, Jing Liu, Yuan Yi Hu, and Jing Yi Wang. "A New Digital Watermarking Algorithm Based on DWT-DCT-RLC." Advanced Engineering Forum 1 (September 2011): 188–92. http://dx.doi.org/10.4028/www.scientific.net/aef.1.188.

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The paper presents an imperceptible and robust digital watermarking algorithm using a combination of the DWT-DCT , which improves the robustness via using new embedding strategy. Apply 4-level DWT to the host image. Then, DCT transform of each directional middle frequencies DWT subband is computed; A binary watermarked logo is coded by Run-Length Code(RLC);The watermark bits are embedded in the coefficients of the DCT block based on the energy of each corresponding to coefficient in the highest level selected using the value of RLC. Performance evaluation show that the proposed scheme is invis

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Balsa, Jose. "Comparison of Image Compressions: Analog Transformations." Proceedings 54, no. 1 (2020): 37. http://dx.doi.org/10.3390/proceedings2020054037.

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A comparison between the four most used transforms, the discrete Fourier transform (DFT), discrete cosine transform (DCT), the Walsh–Hadamard transform (WHT) and the Haar-wavelet transform (DWT), for the transmission of analog images, varying their compression and comparing their quality, is presented. Additionally, performance tests are done for different levels of white Gaussian additive noise.

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Bazine, Razika, Huayi Wu, and Kamel Boukhechba. "Spectral DWT Multilevel Decomposition with Spatial Filtering Enhancement Preprocessing-Based Approaches for Hyperspectral Imagery Classification." Remote Sensing 11, no. 24 (2019): 2906. http://dx.doi.org/10.3390/rs11242906.

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In this paper, spectral–spatial preprocessing using discrete wavelet transform (DWT) multilevel decomposition and spatial filtering is proposed for improving the accuracy of hyperspectral imagery classification. Specifically, spectral DWT multilevel decomposition (SDWT) is performed on the hyperspectral image to separate the approximation coefficients from the detail coefficients. For each level of decomposition, only the detail coefficients are spatially filtered instead of being discarded, as is often adopted by the wavelet-based approaches. Thus, three different spatial filters are explored

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Alex Rajju Balan, J. A., and S. Edward Rajan. "A novel embedding technique for lossless data hiding in medical images employing histogram shifting method." International Journal of Wavelets, Multiresolution and Information Processing 12, no. 03 (2014): 1450026. http://dx.doi.org/10.1142/s021969131450026x.

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In this paper, a lossless data hiding method based on histogram shifting for MR images using Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) are presented. In this method, the algorithms are validated to hide the data in wavelet coefficients of high frequency subbands. This scheme has the advantage of comparing the DCT coefficients and the DWT coefficients which permit low distortion between the watermarked image and the original image. It also shifts a part of the histogram of high frequency subbands and embeds the data by using the created histogram zero point. To preven

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Pooja S. Mali and Dr. Mahesh S. Chavan. "Evaluation of Image Forgery Detection Techniques using DCT, DWT and QCD." International Journal for Modern Trends in Science and Technology 11, no. 06 (2025): 221–25. https://doi.org/10.46501/ijmtst.26.v11.i06.

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Digital photographs are easily manipulated due to advancements in image processing tools, making it difficult to verify their authenticity. Copy and move type forgery, where a part of an image is duplicated and pasted in another location, reduces the image's dependability. A hybrid algorithm based on DWT and DCT is proposed to detect such cloned forgeries. In the proposed work we have used and hybrid algorithm which is based on DWT and DCT that is used to detect such kind of cloned forgery. The suggested technique reduces the dimensional representation of the image by first compressing it usin

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Surobhi, Nusrat Ahmed, and Md. Ruhul Amin. "Employment of Modified Homomorphic Filters In Medical Imaging." DIU Journal of Science & Technology 1, no. 1 (2024): 60–63. https://doi.org/10.5281/zenodo.13637389.

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The most vivacious area of the image processingis image enhancement. Newer techniques and ideas arebeing routinely incorporated to this field for the properenhancement to make the original image suitable for somespecific purposes. However, the techniques that aresuitable for X-ray image enhancement may not necessarilybe suitable for enhancement of the Satellite TelescopeTransmitted (STT) images. Many times, Medical imagesespecially X-ray images are required to be sharper than itsoriginal version for proper information extraction that isnecessary for diagnostic purposes. Homomorphic filtersthat

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Chen, Guang Xue, Bao Lin Tang, Qi Feng Chen, and Jing Lei Tai. "Research into Digital Watermark Algorithm Based on Wavelet Domain." Advanced Engineering Forum 6-7 (September 2012): 525–29. http://dx.doi.org/10.4028/www.scientific.net/aef.6-7.525.

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In this paper, the key research was focused on the algorithm based on wavelet domain after analyzing and comparing several watermark algorithms. Disperse Wave Transform(DWT) watermark and Disperse Cosine Transform(DCT) watermark are both belong to transform domain technology, and they have more robustness than spatial-temporal domain technology, and DWT is superior to DCT. DWT can use the spatial-frequency characteristics of Human Visual System, and Mosaic will not appear in reconstruct image. DWT also can use image fusion technology to disperse watermark into multiple scales of carrier data,

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Journal, Baghdad Science. "Combined DWT and DCT Image Compression Using Sliding RLE Technique." Baghdad Science Journal 8, no. 3 (2011): 832–39. http://dx.doi.org/10.21123/bsj.8.3.832-839.

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A number of compression schemes were put forward to achieve high compression factors with high image quality at a low computational time. In this paper, a combined transform coding scheme is proposed which is based on discrete wavelet (DWT) and discrete cosine (DCT) transforms with an added new enhancement method, which is the sliding run length encoding (SRLE) technique, to further improve compression. The advantages of the wavelet and the discrete cosine transforms were utilized to encode the image. This first step involves transforming the color components of the image from RGB to YUV plane

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Baithoon, Nushwan Y. "Combined DWT and DCT Image Compression Using Sliding RLE Technique." Baghdad Science Journal 8, no. 3 (2011): 832–39. http://dx.doi.org/10.21123/bsj.2011.8.3.832-839.

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A number of compression schemes were put forward to achieve high compression factors with high image quality at a low computational time. In this paper, a combined transform coding scheme is proposed which is based on discrete wavelet (DWT) and discrete cosine (DCT) transforms with an added new enhancement method, which is the sliding run length encoding (SRLE) technique, to further improve compression. The advantages of the wavelet and the discrete cosine transforms were utilized to encode the image. This first step involves transforming the color components of the image from RGB to YUV plane

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Takale, Swapnil, and Dr Altaaf Mulani. "DWT-PCA based Video Watermarking." Journal of Electronics,Computer Networking and Applied Mathematics, no. 26 (November 17, 2022): 1–7. http://dx.doi.org/10.55529/jecnam.26.1.7.

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Progressed watermarking video may be a methodology for embedding additional data another to video salute. Embedded data is utilized for proprietor copyright or recognizable affirmation. It added up to approach for watermarking is shown in this System, by utilizing Discrete Wavelet Alter (DWT) and Crucial Component Examination (PCA). There are a number of watermarking strategies like DCT, DWT, and DWT-SVD, but there's a downside inside the watermarking to stand up to attacks. In this way the cutting edge progressed picture watermarking calculation is proposed which provide solid watermarking wi

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Islam, Md Saiful, and Ui Pil Chong. "A Digital Image Watermarking Algorithm Based on DWT DCT and SVD." International Journal of Computer and Communication Engineering 3, no. 5 (2014): 356–60. http://dx.doi.org/10.7763/ijcce.2014.v3.349.

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Wright, Ashley, Jeffrey P. Walker, David E. Robertson, and Valentijn R. N. Pauwels. "A comparison of the discrete cosine and wavelet transforms for hydrologic model input data reduction." Hydrology and Earth System Sciences 21, no. 7 (2017): 3827–38. http://dx.doi.org/10.5194/hess-21-3827-2017.

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Abstract. The treatment of input data uncertainty in hydrologic models is of crucial importance in the analysis, diagnosis and detection of model structural errors. Data reduction techniques decrease the dimensionality of input data, thus allowing modern parameter estimation algorithms to more efficiently estimate errors associated with input uncertainty and model structure. The discrete cosine transform (DCT) and discrete wavelet transform (DWT) are used to reduce the dimensionality of observed rainfall time series for the 438 catchments in the Model Parameter Estimation Experiment (MOPEX) da

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Al-Haj, Ali. "Combined DWT-DCT Digital Image Watermarking." Journal of Computer Science 3, no. 9 (2007): 740–46. http://dx.doi.org/10.3844/jcssp.2007.740.746.

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DESAI, USHA, ROSHAN JOY MARTIS, C. GURUDAS NAYAK, G. SESHIKALA, K. SARIKA, and RANJAN SHETTY K. "DECISION SUPPORT SYSTEM FOR ARRHYTHMIA BEATS USING ECG SIGNALS WITH DCT, DWT AND EMD METHODS: A COMPARATIVE STUDY." Journal of Mechanics in Medicine and Biology 16, no. 01 (2016): 1640012. http://dx.doi.org/10.1142/s0219519416400121.

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Electrocardiogram (ECG) signal is a non-invasive method, used to diagnose the patients with cardiac abnormalities. The subjective evaluation of interval and amplitude of ECG by physician can be tedious, time consuming, and susceptible to observer bias. ECG signals are generated due to the excitation of many cardiac myocytes and hence resultant signals are non-linear in nature. These subtle changes can be well represented and discriminated in transform and non-linear domains. In this paper, performance of Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT) and Empirical Mode Decom

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Ramadan, Khaled, and Emad S. Hassan. "Enhanced DWT-OFDM communication system using wavelet domain equalizer with Co-CFO." PLOS ONE 20, no. 4 (2025): e0317097. https://doi.org/10.1371/journal.pone.0317097.

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For the design of Orthogonal Frequency Division Multiplexing (OFDM), the Discrete Wavelet Transform (DWT) offers significant benefits over the classic Discrete Fourier Transform (DFT). This article proposes a Joint Low Complexity Regularized Zero Forcing-Wavelet Domain Equalizer (JLCRLZF-WDE) as substitute to a Frequency Domain Equalizer (FDE) for improving the Multiple-Input-Multiple-Output (MIMO) DWT-OFDM. The results have been assessed using the Co-Carrier Frequency Offset (Co-CFO) Rayleigh fading channel. The proposed scheme’s relevance is demonstrated by a comparison of its Bit-Error-Rate

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Han, Bao Ru, Jing Bing Li, and Liang Zong. "Application of Chaotic Neural Network and 3D DWT-DFT in Medical Volume Data Watermarking." Applied Mechanics and Materials 411-414 (September 2013): 1209–12. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.1209.

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This paper proposes a digital watermarking method for the protection of medical volume data based on chaotic neural network and 3D DWT-DFT. In order to improve the security of digital watermarking, it uses chaotic sequence for scrambling .The chaotic sequence is generated by chaotic neural network. It makes full use of multi-level decomposition characteristics of 3D DWT-DFT, embedding watermark in the transform domain. The experimental results show that the method can resist filtering and rotation attacks, which has good robustness.

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Hamidi, Mohamed, Mohamed El Haziti, Hocine Cherifi, and Mohammed El Hassouni. "A Hybrid Robust Image Watermarking Method Based on DWT-DCT and SIFT for Copyright Protection." Journal of Imaging 7, no. 10 (2021): 218. http://dx.doi.org/10.3390/jimaging7100218.

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In this paper, a robust hybrid watermarking method based on discrete wavelet transform (DWT), discrete cosine transform (DCT), and scale-invariant feature transformation (SIFT) is proposed. Indeed, it is of prime interest to develop robust feature-based image watermarking schemes to withstand both image processing attacks and geometric distortions while preserving good imperceptibility. To this end, a robust watermark is embedded in the DWT-DCT domain to withstand image processing manipulations, while SIFT is used to protect the watermark from geometric attacks. First, the watermark is embedde

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Şahin, Canberk, and Mustafa Özden. "Framework for Localization of Forgery Regions in Image." International Conference on Applied Engineering and Natural Sciences 1, no. 1 (2023): 1071–78. http://dx.doi.org/10.59287/icaens.1131.

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With the development of computer technologies, manipulations are made on digital images without leaving a clear trace thanks to image processing software. There is a great need for applications to detect forgered images made with malicious intent in many fields such as politics, law, medicine and military. Many studies have been carried out and various algorithms have been developed to detect forgered regions by detecting forgered images. Today, superior methods are developed by combining traditional image forgery techniques with deep learning techniques. In this study, the Discrete Cosine Tra

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Wellia, Shinta Sari, Hari Rachmawanto Eko, Rosal Ignatius Moses Setiadi De, and Atika Sari Christy. "A Good Performance OTP Encryption Image based on DCT-DWT Steganography." TELKOMNIKA Telecommunication, Computing, Electronics and Control 15, no. 4 (2017): 1980–87. https://doi.org/10.12928/TELKOMNIKA.v15i4.5883.

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The security aspect is very important in data transmission. One way to secure data is with steganography and cryptography. Surely research on this should continue to be developed to improve security. In this paper, we proposed a combination of steganographic and cryptographic algorithms for double protection during data transmission. The selected steganographic algorithm is the use of a combination of DCT and DWT domain transformations. Because the Imperceptibility aspect is a very important aspect of steganographic techniques, this aspect needs to be greatly improved. In the proposed method o

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Taha, Dujan B., Taha Basheer Taha, and Najla Badie Al Dabagh. "A comparison between the performance of DWT and LWT in image watermarking." Bulletin of Electrical Engineering and Informatics 9, no. 3 (2020): 1005–14. http://dx.doi.org/10.11591/eei.v9i3.1754.

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Image watermarking algorithms can be implemented using time domain or frequency domain-based algorithms. Frequency domain watermarking produces watermarks with higher robustness; hence, many attempts have been proposed in literature using different transformations as DCT, SVD, and DWT. DWT was widely used for many reasons as its spatio-temporal feature, in which the alteration of certain portion will affect only the affected portion. In this paper an experimental comparison between the traditional DWT and the second generation of wavelet which is LWT is initiated. The experimental tests evalua

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Dujan, B. Taha, Basheer Taha Taha, and Badie Al Dabagh Najla. "A comparison between the performance of DWT and LWT in image watermarking." Bulletin of Electrical Engineering and Informatics 9, no. 3 (2020): 1005–14. https://doi.org/10.11591/eei.v9i3.1754.

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Image watermarking algorithms can be implemented using time domain or frequency domain-based algorithms. Frequency domain watermarking produces watermarks with higher robustness; hence, many attempts have been proposed in literature using different transformations as DCT, SVD, and DWT. DWT was widely used for many reasons as its spatio-temporal feature, in which the alteration of certain portion will affect only the affected portion. In this paper an experimental comparison between the traditional DWT and the second generation of wavelet which is LWT is initiated. The experimental tests evalua

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V., Yaswanth Varma *. T. Nalini Prasad N. V. Phani Sai Kumar. "IMAGE COMPRESSION METHODS BASED ON TRANSFORM CODING AND FRACTAL CODING." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 10 (2017): 481–87. https://doi.org/10.5281/zenodo.1036337.

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Image compression is process to remove the redundant information from the image so that only essential information can be stored to reduce the storage size, transmission bandwidth and transmission time. The essential information is extracted by various transforms techniques such that it can be reconstructed without losing quality and information of the image. In this research comparative analysis of image compression is done by four transform method, which are Discrete Cosine Transform (DCT), Discrete Wavelet Transform( DWT) & Hybrid (DCT+DWT) Transform and fractal coding. MATLAB programs

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D. K., Onebunne, Nwabueze C. A., Ekengwu B. O., and Odukwe P. C. "Improving Bit Error Rate of MIMO-OFDM System Using Discrete Wavelet Transformation." International Journal of Advanced Networking and Applications 14, no. 02 (2022): 5378–84. http://dx.doi.org/10.35444/ijana.2022.14208.

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This paper has developed a discrete wavelet transform (DWT) for multicarrier modulation in MIMO-OFDM system. The proposed system used additive Gaussian white noise (AGWN) and Rayleigh flat fading channel with respect to SNR using binary phase shift keying (BPSK). The algorithms for various scenarios of MIMO-OFDM system have been developed and simulated in MATLAB environment. The performance metric of the system was based on bit error ratio (BER) variation over values of signal to noise ratio (SNR) for different transmit and receive antennas including single input multiple output (SIMO) arrange

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Somasekhar, B., Ch Mohana Krishna, and Y. Murty. "Investigations on wavelet and Fourier transform based channel estimation in MIMO-OFDM system." International Journal of Engineering & Technology 7, no. 2.21 (2018): 228. http://dx.doi.org/10.14419/ijet.v7i2.21.12178.

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In this paper channel estimation methods for MIMO-OFDM system are investigated based on Fourier Transform and Wavelet Transform. The channel estimation algorithm based on Discrete Fourier Transform (DFT) cause energy leakage in multipath channel with non-sample-spaced time delays. Discrete Cosine Transform (DCT) based channel estimator can mitigate the drawback of Discrete Fourier Transform based channel estimator, when the non-sample spaced path delays are available in multipath fading channels. Wavelet based systems provide better spectral efficiency because of no cyclic prefix requirement,

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Mohammad, Shukri Salman, Eleyan Alaa, and Al-Sheikh Bahaa. "Discrete wavelet transform-based RI adaptive algorithm for system identification." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 3 (2020): 2383–91. https://doi.org/10.11591/ijece.v10i3.pp2383-2391.

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In this paper, we propose a new adaptive filtering algorithm for system identification. The algorithm is based on the recursive inverse (RI) adaptive algorithm which suffers from low convergence rates in some applications; i.e., the eigenvalue spread of the autocorrelation matrix is relatively high. The proposed algorithm applies discrete-wavelet transform (DWT) to the input signal which, in turn, helps to overcome the low convergence rate of the RI algorithm with relatively small step-size(s). Different scenarios has been investigated in different noise environments in system identification s

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Harathi, N., V. Meenakshi, and C. H. Suneetha. "Comparison of PSNR of DCT, DWT and DTT using Telenuclear Medical Image." i-manager's Journal on Image Processing 1, no. 3 (2014): 23–32. http://dx.doi.org/10.26634/jip.1.3.2961.

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BELKASIM, SAEID, XIANYU HONG, and O. BASIR. "CONTENT BASED IMAGE RETRIEVAL USING DISCRETE WAVELET TRANSFORM." International Journal of Pattern Recognition and Artificial Intelligence 18, no. 01 (2004): 19–32. http://dx.doi.org/10.1142/s0218001404003046.

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Image retrieval plays an important role in a broad spectrum of applications. Contentbased retrieval (CBR) is one of the popular choices in many biomedical and industrial applications. Discrete image transforms have been widely studied and suggested for many image retrieval applications. The Discrete Wavelet Transform (DWT) is one of the most popular transforms recently applied to many image processing applications. The Daubechies wavelet can be used to form the basis for extracting features in retrieving images based on the description of a particular object within the scene. This wavelet is w

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HIEN, THAI DUY, YEN-WEI CHEN, and ZENSHO NAKAO. "ROBUST DIGITAL WATERMARKING BASED ON PRINCIPAL COMPONENT ANALYSIS." International Journal of Computational Intelligence and Applications 04, no. 02 (2004): 183–92. http://dx.doi.org/10.1142/s1469026804001240.

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We propose a robust digital watermarking technique based on Principal Component Analysis (PCA) and evaluate the effectiveness of the method against some watermark attacks. In this proposed method, watermarks are embedded in the PCA domain and the method is closely related to DCT or DWT based frequency-domain watermarking. The orthogonal basis functions, however, are determined by data and they are adaptive to the data. The presented technique has been successfully evaluated and compared with DCT and DWT based watermarking methods. Experimental results show robust performance of the PCA based m

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Zhang, Shun, Tie-gang Gao, and Fu-sheng Yang. "A High Capacity Reversible Data Hiding Scheme Based on Multi-Level Integer DWT and Histogram Modification." International Journal of Digital Crime and Forensics 6, no. 1 (2014): 51–64. http://dx.doi.org/10.4018/ijdcf.2014010104.

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A reversible data hiding scheme based on integer DWT and histogram modification is proposed. In the scheme, the cover media is firstly transformed by Integer DWT (Discrete Wavelet Transformation); then information is embedded through the modification of histograms of the middle and high frequency sub-bands of the DWT coefficients. In order to increase the embedding capacity, a multi-level scheme is proposed, which achieved both high embedding capacity and reversibility. Extensive experimental results have shown that the proposed scheme achieves both higher embedding capacity and lower distorti

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Mazić, Igor, Mirjana Bonković, and Anamaria Bjelopera. "The Manchester Coded Data Based OFDM (MCOFDM)." Transactions on Maritime Science 7, no. 02 (2018): 154–63. http://dx.doi.org/10.7225/toms.v07.n02.005.

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This paper shows a new DWT based OFDM algorithm which significantly simplifies signal processing in the transmitter and receiver. Unlike conventional DWT based OFDM a new algorithm does not use digital modulation of subcarriers either IDWT in the transmitter. The output signal from the transmitter is formed by summing the signals on the individual subchannels, encoded with the Manchester code and sampled at appropriate frequencies. In the receiver, the channel signal and data is reconstructed using DWT and Haar wavelet. Although the signal transmission is achieved using amplitude modulation, t

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., Neha, and Pratistha Mathur. "Three Level Optimization Models of Scaled Gabor Features for Facial Expression Recognition." International Journal of Engineering & Technology 7, no. 2.24 (2018): 348. http://dx.doi.org/10.14419/ijet.v7i2.24.12080.

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The area of computer vision and machine learning for pattern recognition has witnessed the need for research for the development of algorithms for different applications such as human-computer interaction, automated access control and surveillance. In the field of computer vision Facial Expression Recognition has attracted the researcher’s interest. This paper presents a novel feature extraction technique: Gabor-Average-DWT-DCT for automatic facial expression recognition from a person's face image invariant of illumination. Facial Emotions have different edge and texture pattern. Gabor filter

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Guo, Qian, Guang Xue Chen, Jian Luo, and Qi Feng Chen. "A Blind Watermarking Algorithm Using DWT and DCT Techniques for Color Image." Applied Mechanics and Materials 731 (January 2015): 179–82. http://dx.doi.org/10.4028/www.scientific.net/amm.731.179.

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In this paper, a robust watermarking technique which combines features of Discrete Wavelet Transformation (DWT) and Discrete Cosine Transformation (DCT) is proposed. Firstly the original color image is converted from RGB space to Lab space. In this technique, DWT is used to decompose the luminance coefficients into various frequency and time scale. The block DCT is applied on DWT coefficients of middle frequency to provide high level of robustness. The encrypted watermark is embedded in it by comparison of the intermediate frequency coefficients. Then the color image is converted from Lab spac

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Mohanad, Najm Abdulwahed, and kamil Ahmed Ali. "Improved anti-noise attack ability of image encryption algorithm using de-noising technique." TELKOMNIKA Telecommunication, Computing, Electronics and Control 18, no. 6 (2020): 3080~3087. https://doi.org/10.12928/TELKOMNIKA.v18i6.16384.

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Information security is considered as one of the important issues in the information age used to preserve the secret information throughout transmissions in practical applications. With regard to image encryption, a lot of schemes related to information security were applied. Such approaches might be categorized into 2 domains; domain frequency and domain spatial. The presented work develops an encryption technique on the basis of conventional watermarking system with the use of singular value decomposition (SVD), discrete cosine transform (DCT), and discrete wavelet transform (DWT) together,

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Mohammed, Nadia. "Chaotic Image Steganography using DCT and DWT." AL-Rafidain Journal of Computer Sciences and Mathematics 10, no. 3 (2013): 61–73. http://dx.doi.org/10.33899/csmj.2013.163536.

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Singla, Tamanna, and Ashwani Sethi. "Steganography: A Juxtaposition between LSB DCT, DWT." International Journal of Computer Applications 126, no. 11 (2015): 6–10. http://dx.doi.org/10.5120/ijca2015906215.

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