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Relevant bibliographies by topics / Discrete cosine transforms (DCT)

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Academic literature on the topic 'Discrete cosine transforms (DCT)'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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Journal articles on the topic "Discrete cosine transforms (DCT)"

1

Song, Hyeonju, and Yung-Lyul Lee. "Inverse Transform Using Linearity for Video Coding." Electronics 11, no. 5 (2022): 760. http://dx.doi.org/10.3390/electronics11050760.

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In hybrid block-based video coding, transform plays an important role in energy compaction. Transform coding converts residual data in the spatial domain into frequency domain data, thereby concentrating energy in a lower frequency band. In VVC (versatile video coding), the primary transform is performed using DCT-II (discrete cosine transform type 2), DST-VII (discrete sine transform type 7), and DCT-VIII (discrete cosine transform type 8). Considering that DCT-II, DST-VII, and DCT-VIII are all linear transforms, inverse transform is proposed to reduce the number of computations by using the

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Kumbhare, Pratiksha R., and U. M. Gokhale. "Design and Implementation of 2D-DCT by Using Arai Algorithm for Image Compression." Journal of Advance Research in Electrical & Electronics Engineering (ISSN: 2208-2395) 2, no. 3 (2015): 08–14. http://dx.doi.org/10.53555/nneee.v2i3.212.

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Discrete Cosine Transform (DCT) exploits cosine functions; it transforms a signal from spatial representation into frequency domain. It is one of the most widely used techniques for the compression of the image. The main goal of image compression using DCT is the reduction or elimination of redundancy in data representation in order to achieve reduction in storage and communication cost. In this work, we proposed the low complexity architecture for the computation of an algebraic integer (AI) based 8-point DCT. The proposed approach is fast and provides low complexity.

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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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Tabassum, Saadia, Sajjad Hussain, and Abdul Ghafoor. "Peak to Average Power Ratio Reduction in NC–OFDM Systems." Journal of Electrical Engineering 66, no. 3 (2015): 154–58. http://dx.doi.org/10.2478/jee-2015-0024.

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Abstract Non contiguous orthogonal frequency division multiplexing (NC-OFDM) is an efficient and adaptable multicarrier modulation scheme to be used in cognitive radio communications. However like OFDM, NC-OFDM also suffers from the main drawback of high peak to average power ratio (PAPR). In this paper PAPR has been reduced by employing three different trigonometric transforms. Discrete cosine transform (DCT), discrete sine transform (DST) and fractional fourier transform (FRFT) has been combined with conventional selected level mapping (SLM) technique to reduce the PAPR of both OFDM and NC-O

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Tereshchenko, Andrii, and Valeriy Zadiraka. "Implementation of Multidigit Multiplication Basing on Discrete Cosine and Sine Transforms." Cybernetics and Computer Technologies, no. 4 (December 30, 2021): 61–79. http://dx.doi.org/10.34229/2707-451x.21.4.7.

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Introduction. The emergence of new parallel computing systems such as multi-core processors, clusters, distributed systems, due to the solution of various applications in different spheres. Among such problems are the calculation of systems of linear algebraic equations with the number of unknown 33-35 million, the calculation of nuclear reactor shells, modeling of physical and chemical processes, aerodynamics, hydrodynamics, information security, and so on. This greatly expands the use of multidigit arithmetic, due to the fact that ignoring rounding errors leads to the fact that sometimes com

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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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Rad, Farhad, and Ali Broumandnia. "An Efficient Implementation of the Entire Transforms in the H.264/AVC Encoder using VHDL." International Journal of Reconfigurable and Embedded Systems (IJRES) 2, no. 3 (2013): 116. http://dx.doi.org/10.11591/ijres.v2.i3.pp116-121.

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The H.264/AVC standard achieves remarkable higher compression performance than the previous MPEG and H.26X standards. One of the computationally intensive units in the MPEG and H.26X video coding families is the Discrete Cosine Transform (DCT). In this paper, we propose an efficient implementation of the DCT, inverse DCTs and the Hadamard transforms in the H.264/AVC encoder using VHDL. The synthesis results indicate that our implementation of the entire transforms achieves lower power, delay and area consumption compared to the existing architectures in the H.264/AVC encoder.

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Luque, Amalia, Jesús Gómez-Bellido, Alejandro Carrasco, and Julio Barbancho. "Exploiting the Symmetry of Integral Transforms for Featuring Anuran Calls." Symmetry 11, no. 3 (2019): 405. http://dx.doi.org/10.3390/sym11030405.

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The application of machine learning techniques to sound signals requires the previous characterization of said signals. In many cases, their description is made using cepstral coefficients that represent the sound spectra. In this paper, the performance in obtaining cepstral coefficients by two integral transforms, Discrete Fourier Transform (DFT) and Discrete Cosine Transform (DCT), are compared in the context of processing anuran calls. Due to the symmetry of sound spectra, it is shown that DCT clearly outperforms DFT, and decreases the error representing the spectrum by more than 30%. Addit

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Azani Mustafa, Wan, Haniza Yazid, Wan Khairunizam, et al. "Image Enhancement Based on Discrete Cosine Transforms (DCT) and Discrete Wavelet Transform (DWT): A Review." IOP Conference Series: Materials Science and Engineering 557 (June 28, 2019): 012027. http://dx.doi.org/10.1088/1757-899x/557/1/012027.

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Srinivasan, Naveen. "Comparative Study on MATLAB based JPEG Image Size Reduction Using Discrete Cosine Transform and Shearlet Transform for Mammogram Images with Potential Hospital Data Storage Applications." Revista Gestão Inovação e Tecnologias 11, no. 2 (2021): 1526–36. http://dx.doi.org/10.47059/revistageintec.v11i2.1778.

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Aim: The aim of this study was to compare Discrete cosine transform and Shearlet transform for mammographic image compression and determine better transform among them. Materials and methods: Sample mammographic images were collected- DCT (30) and Shearlet (30) for compression. Compression ratio was calculated by comparing the original and compressed image size. The significance of the data were calculated using SPSS software. Result: There was a statistical significance between DCT and shearlet based compression ratio data (p=0.035) deviation independent sample t test). Conclusion: DCT based

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Dissertations / Theses on the topic "Discrete cosine transforms (DCT)"

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Hantehzadeh, Neda. "3-D Face Recognition using the Discrete Cosine Transform (DCT)." Available to subscribers only, 2009. http://proquest.umi.com/pqdweb?did=1964658571&sid=3&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Haque, S. M. Rafizul. "Singular Value Decomposition and Discrete Cosine Transform based Image Watermarking." Thesis, Blekinge Tekniska Högskola, Avdelningen för för interaktion och systemdesign, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5269.

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Rapid evolution of digital technology has improved the ease of access to digital information enabling reliable, faster and efficient storage, transfer and processing of digital data. It also leads to the consequence of making the illegal production and redistribution of digital media easy and undetectable. Hence, the risk of copyright violation of multimedia data has increased due to the enormous growth of computer networks that provides fast and error free transmission of any unauthorized duplicate and possibly manipulated copy of multimedia information. One possible solution may be to embed

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Pagliari, Carla Liberal. "Perspective-view image matching in the DCT domain." Thesis, University of Essex, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.298594.

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Bhardwaj, Divya Anshu. "Inverse Discrete Cosine Transform by Bit Parallel Implementation and Power Comparision." Thesis, Linköping University, Department of Electrical Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2447.

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<p>The goal of this project was to implement and compare Invere Discrete Cosine Transform using three methods i.e. by bit parallel, digit serial and bit serial. This application describes a one dimensional Discrete Cosine Transform by bit prallel method and has been implemented by 0.35 ìm technology. When implementing a design, there are several considerations like word length etc. were taken into account. The code was implemented using WHDL and some of the calculations were done in MATLAB. The VHDL code was the synthesized using Design Analyzer of Synopsis; power was calculated and the result

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Faridi, Imran Zafar. "Image Compression Using Bidirectional DCT to Remove Blocking Artifacts." Digital Archive @ GSU, 2005. http://digitalarchive.gsu.edu/cs_theses/9.

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Discrete Cosine Transform (DCT) is widely used transform in many areas of the current information age. It is used in signal compression such as voice recognition, shape recognition and also in FBI finger prints. DCT is the standard compression system used in JPEG format. The DCT quality deteriorates at low-bit compression rate. The deterioration is due to the blocking artifact inherent in block DCT. One of the successful attempts to reduce these blocking artifacts was conversion of Block-DCT into Line-DCT. In this thesis we will explore the Line-DCT and introduce a new form of line-DCT called

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Ahmed, Kamal Ali. "Digital watermarking of still images." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/digital-watermarking-of-still-images(0dc4b146-3d97-458f-9506-8c67bc3a155b).html.

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This thesis presents novel research work on copyright protection of grey scale and colour digital images. New blind frequency domain watermarking algorithms using one dimensional and two dimensional Walsh coding were developed. Handwritten signatures and mobile phone numbers were used in this project as watermarks. In this research eight algorithms were developed based on the DCT using 1D and 2D Walsh coding. These algorithms used the low frequency coefficients of the 8 × 8 DCT blocks for embedding. A shuffle process was used in the watermarking algorithms to increase the robustness against th

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Al-Gindy, Ahmed M. N. "Design and analysis of Discrete Cosine Transform-based watermarking algorithms for digital images. Development and evaluation of blind Discrete Cosine Transform-based watermarking algorithms for copyright protection of digital images using handwritten signatures and mobile phone numbers." Thesis, University of Bradford, 2011. http://hdl.handle.net/10454/5450.

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This thesis deals with the development and evaluation of blind discrete cosine transform-based watermarking algorithms for copyright protection of digital still images using handwritten signatures and mobile phone numbers. The new algorithms take into account the perceptual capacity of each low frequency coefficients inside the Discrete Cosine Transform (DCT) blocks before embedding the watermark information. They are suitable for grey-scale and colour images. Handwritten signatures are used instead of pseudo random numbers. The watermark is inserted in the green channel of the RGB colour imag

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Muller, Rikus. "Applying the MDCT to image compression." Thesis, Stellenbosch : University of Stellenbosch, 2009. http://hdl.handle.net/10019.1/1197.

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Thesis (DSc (Mathematical Sciences. Applied Mathematics))--University of Stellenbosch, 2009.<br>The replacement of the standard discrete cosine transform (DCT) of JPEG with the windowed modifed DCT (MDCT) is investigated to determine whether improvements in numerical quality can be achieved. To this end, we employ an existing algorithm for optimal quantisation, for which we also propose improvements. This involves the modelling and prediction of quantisation tables to initialise the algorithm, a strategy that is also thoroughly tested. Furthermore, the effects of various window functions

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Akhtar, Mahmood Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Genomic sequence processing: gene finding in eukaryotes." Publisher:University of New South Wales. Electrical Engineering & Telecommunications, 2008. http://handle.unsw.edu.au/1959.4/40912.

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Of the many existing eukaryotic gene finding software programs, none are able to guarantee accurate identification of genomic protein coding regions and other biological signals central to pathway from DNA to the protein. Eukaryotic gene finding is difficult mainly due to noncontiguous and non-continuous nature of genes. Existing approaches are heavily dependent on the compositional statistics of the sequences they learn from and are not equally suitable for all types of sequences. This thesis firstly develops efficient digital signal processing-based methods for the identification of genomic

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Abdallah, Abdallah Sabry. "Investigation of New Techniques for Face detection." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/33191.

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The task of detecting human faces within either a still image or a video frame is one of the most popular object detection problems. For the last twenty years researchers have shown great interest in this problem because it is an essential pre-processing stage for computing systems that process human faces as input data. Example applications include face recognition systems, vision systems for autonomous robots, human computer interaction systems (HCI), surveillance systems, biometric based authentication systems, video transmission and video compression systems, and content based image retrie

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Books on the topic "Discrete cosine transforms (DCT)"

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C, Yip P., and Rao K. Ramamohan, eds. Discrete Cosine and Sine Transforms: General Properties, Fast Algorithms and Integer Approximations. Academic Press, 2006.

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Britanak, Vladimir. Discrete cosine and sine transforms: General properties, fast algorithms and integer approximations. Academic, 2007.

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Discrete Cosine and Sine Transforms. Elsevier, 2007. http://dx.doi.org/10.1016/b978-0-12-373624-6.x5000-0.

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Rao, K. R., and Humberto Ochoa-Dominguez. Discrete Cosine Transform, Second Edition. Taylor & Francis Group, 2019.

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Rao, K. R., and Humberto Ochoa-Dominguez. Discrete Cosine Transform, Second Edition. Taylor & Francis Group, 2019.

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Rao, K. R., and Humberto Ochoa-Dominguez. Discrete Cosine Transform, Second Edition. Taylor & Francis Group, 2019.

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Britanak, Vladimir, Patrick C. Yip, and K. R. Rao. Discrete Cosine and Sine Transforms: General Properties, Fast Algorithms and Integer Approximations. Academic Press, 2006.

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Britanak, Vladimir, Patrick C. Yip, and K. R. Rao. Discrete Cosine and Sine Transforms: General Properties, Fast Algorithms and Integer Approximations. Academic Press, 2006.

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Britanak, Vladimir, Patrick C. Yip, and K. R. Rao. Discrete Cosine and Sine Transforms: General Properties, Fast Algorithms and Integer Approximations. Elsevier Science & Technology Books, 2010.

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Book chapters on the topic "Discrete cosine transforms (DCT)"

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Burger, Wilhelm, and Mark J. Burge. "The Discrete Cosine Transform (DCT)." In Texts in Computer Science. Springer London, 2016. http://dx.doi.org/10.1007/978-1-4471-6684-9_20.

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Burger, Wilhelm, and Mark James Burge. "The Discrete Cosine Transform DCT." In Principles of Digital Image Processing. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84800-195-4_9.

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Burger, Wilhelm, and Mark J. Burge. "The Discrete Cosine Transform (DCT)." In Texts in Computer Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05744-1_20.

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Jerri, Abdul J. "The Discrete Sine (DST) and Cosine (DCT) Transforms for Boundary Value Problems." In Linear Difference Equations with Discrete Transform Methods. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-5657-9_5.

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Thanki, Rohit M., Vedvyas J. Dwivedi, and Komal R. Borisagar. "Multibiometric Watermarking Technique Using Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT)." In Multibiometric Watermarking with Compressive Sensing Theory. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73183-4_5.

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Mahale, Vivek, Mouad M. H. Ali, Pravin L. Yannawar, and Ashok Gaikwad. "Analysis of Image Inconsistency Based on Discrete Cosine Transform (DCT)." In Information and Communication Technology for Intelligent Systems. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1742-2_56.

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Thanki, Rohit M., Vedvyas J. Dwivedi, and Komal R. Borisagar. "Multibiometric Watermarking Technique Using Fast Discrete Curvelet Transform (FDCuT) and Discrete Cosine Transform (DCT)." In Multibiometric Watermarking with Compressive Sensing Theory. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73183-4_7.

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Patidar, Rohit, Balwant Prajapat, and Anwar Sakreja. "Image Steganography Based on Random Pixel Addition and Discrete Cosine Transform (DCT)." In International Conference on Advanced Computing Networking and Informatics. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2673-8_47.

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Kim, Cheong-Ghil, Su-Jin Lee, and Shin-Dug Kim. "2-D Discrete Cosine Transform (DCT) on Meshes with Hierarchical Control Modes." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11492429_81.

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Alhatami, Emadalden, Uzair Aslam Bhatti, MengXing Huang, and SiLing Feng. "Review and Enhancement of Discrete Cosine Transform (DCT) for Medical Image Fusion." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9331-2_8.

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Conference papers on the topic "Discrete cosine transforms (DCT)"

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Aghagolzadeh, Sabzali, and Okan K. Ersoy. "Transform edge detection." In OSA Annual Meeting. Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.ww1.

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Many techniques have been proposed for edge detection involving transforms, such as the method of Shanmugam et al.1 and the gradient method of Marr and Hildreth.2 It can be easily shown that such methods are some kind of bandpass filtering. Because of the existence of different kind of edges and different amount of noise in a real image, no unique filter can be optimal. We discuss how to use some novel real fast transforms for edge detection through bandpass filtering. These are discrete cosine transform (DCT), real discrete Fourier transform (RDFT), scrambled real discrete Fourier transform (

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Lasso-Martinez, I., H. Loaiza-Correa, and A. Restrepo-Giron. "Discrete Trigonometric Transform Thermography for Defect Detection in Composites." In QIRT. QIRT Council, 2022. http://dx.doi.org/10.21611/qirt.2022.3006.

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Images obtained with Pulsed Thermography (PT) are often affected by noise and non-uniform heating. Therefore, numerous advanced signal processing methods have been proposed to solve these problems and thus improve the defects detection that are below the surface of materials. Some of these techniques are Principal Component Thermography (PCT), High-Order Statistics (HOS), Thermographic Signal Reconstruction (TSR) –and its first and second derivatives–. However, none of these methods is based on the law of conservation of energy of a signal (i.e., each image or thermogram) between space and fre

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Lasso-Martinez, I., H. Loaiza-Correa, and A. Restrepo-Giron. "Discrete Trigonometric Transform Thermography for Defect Detection in Composites." In QIRT. QIRT Council, 2022. http://dx.doi.org/10.21611/qirt.2022.3023.

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Images obtained with Pulsed Thermography (PT) are often affected by noise and non-uniform heating. Therefore, numerous advanced signal processing methods have been proposed to solve these problems and thus improve the defects detection that are below the surface of materials. Some of these techniques are Principal Component Thermography (PCT), High-Order Statistics (HOS), Thermographic Signal Reconstruction (TSR) –and its first and second derivatives–. However, none of these methods is based on the law of conservation of energy of a signal (i.e., each image or thermogram) between space and fre

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Zhechev, Bozhan. "The discrete cosine transform DCT-4 and DCT-8." In the 4th international conference conference. ACM Press, 2003. http://dx.doi.org/10.1145/973620.973663.

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Huang, Yunming G., and Howard M. Dreizen. "Prioritized DCT (discrete cosine transform) image coding." In Midwest - DL tentative, edited by Rudolph P. Guzik, Hans E. Eppinger, Richard E. Gillespie, Mary K. Dubiel, and James E. Pearson. SPIE, 1991. http://dx.doi.org/10.1117/12.25864.

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Alluru, Mandeep, In Soo Ahn, and Yufeng Lu. "Discrete cosine transform(DCT)-based reconfigurable system design." In 2011 IEEE International Conference on Electro/Information Technology (EIT 2011). IEEE, 2011. http://dx.doi.org/10.1109/eit.2011.5978631.

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Watson, Andrew B. "Model for optimizing DCT-based image compression." In OSA Annual Meeting. Optica Publishing Group, 1993. http://dx.doi.org/10.1364/oam.1993.wh.6.

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Hussein, Adel, Adnan Suleiman, Nabil Kerkiz, and David Akopian. "Scalable interconnect networks for Discrete Cosine Transforms (DCT) for mobile and multimedia application." In 2010 53rd IEEE International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2010. http://dx.doi.org/10.1109/mwscas.2010.5548713.

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Tzannes, N. S., John S. Bodenscharz, and M. A. Tzannes. "Image reconstruction using entropy, relative entropy, and the discrete cosine transform." In OSA Annual Meeting. Optica Publishing Group, 1987. http://dx.doi.org/10.1364/oam.1987.mo3.

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Previously1 we introduced the use of the maximum entropy principle (MEP) for image reconstruction of moment-coded images. The MEP and the minimum relative principle (MREP) are used in reconstructing images previously compressed by retaining a subset of the coefficients of their discrete cosine transform (DCT), a popular method of image compression since it approximates closely the ideal Karhunen-Loeve transform compression. The normal way to reconstruct such compressed images is by using the inverse DCT. The reconstructed image under the MEP is the one that maximizes the entropy of the image s

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Ratnakar, Viresh, Ephraim Feig, Eric Viscito, and Sudhakar Kalluri. "Runlength encoding of quantized discrete cosine transform (DCT) coefficients." In IS&T/SPIE's Symposium on Electronic Imaging: Science & Technology, edited by Arturo A. Rodriguez, Robert J. Safranek, and Edward J. Delp. SPIE, 1995. http://dx.doi.org/10.1117/12.206376.

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