Relevant bibliographies by topics / Integer Wavelet Transform

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Integer Wavelet Transform'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Integer Wavelet Transform"

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Dewitte, S., and J. Cornelis. "Lossless integer wavelet transform." IEEE Signal Processing Letters 4, no. 6 (1997): 158–60. http://dx.doi.org/10.1109/97.586035.

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NAVARRO, JAIME, and OSCAR HERRERA. "CONVERGENCE OF THE DISCRETE WAVELET TRANSFORM." International Journal of Wavelets, Multiresolution and Information Processing 10, no. 06 (2012): 1250060. http://dx.doi.org/10.1142/s0219691312500609.

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The discrete wavelet transform; depending of the pair of integers (m, n), applied to functions f in L2(R) with respect to an admissible function h in L2(R) of class C∞ with compact support, is used to prove that f is continuous at x = 0, and furthermore at any x = b in R if and only if there exists the convergence of the discrete wavelet transform, as (m, n) → (-∞, n1) for any integer n1.
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Zhang, Ding Hui, Yu Ping Wang, Jian Wei Zhang, Sai Sai Xu, and You Li. "Blind Digital Watermarking of Integer Wavelet Transform." Advanced Materials Research 433-440 (January 2012): 5962–66. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5962.

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In the light of JPEG compression attack, a blind digital watermarking algorithm of integer wavelet transform is proposed in this paper. Before the watermarking image is embedded, the cover image is decomposed by integer wavelet transform, and the binary watermarking image is scrambled to enhance its security. The scrambled digital watermarking is embedded into the cover image by means of modulo operation and modification of the integer wavelet transform coefficients of the cover image. The digital watermarking is extracted only by means of the modulo operation of the integer wavelet transform
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Wang, Bin. "Reversible Integer Wavelet Transform for the Joint of Image Encryption and Watermarking." Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/935741.

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In recent years, signal processing in the encrypted domain has attracted considerable research interest, especially embedding watermarking in encrypted image. In this work, a novel joint of image encryption and watermarking based on reversible integer wavelet transform is proposed. Firstly, the plain-image is encrypted by chaotic maps and reversible integer wavelet transform. Then the lossless watermarking is embedded in the encrypted image by reversible integer wavelet transform and histogram modification. Finally an encrypted image containing watermarking is obtained by the inverse integer w
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Wei, Xiaopeng, Bin Wang, Qiang Zhang, and Chao Che. "Image Encryption based on Chaotic Map and Reversible Integer Wavelet Transform." Journal of Electrical Engineering 65, no. 2 (2014): 90–96. http://dx.doi.org/10.2478/jee-2014-0013.

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Abstract In recent years, there has been growing interesting in image encryption based on chaotic maps and wavelet transform. In this paper, a novel scheme for image encryption based on chaotic maps and reversible integer wavelet transform is proposed. Firstly, the cipher key which is related to plain-image is used to generate different parameters and initial values of chaotic maps. Then the plain-image is permuted by the order from chaotic maps, and processed by integer wavelet transform. A part of transform coefficient is diffused by the orbits of chaotic maps. Finally, the cipher image is o
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Bhat, Younus. "Generalized inequalities for nonuniform wavelet frames in linear canonical transform domain." Filomat 37, no. 12 (2023): 3725–35. http://dx.doi.org/10.2298/fil2312725b.

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A constructive algorithm based on the theory of spectral pairs for constructing nonuniform wavelet basis in L2(R) was considered by Gabardo and Nashed. In this setting, the associated translation set is a spectrum ? which is not necessarily a group nor a uniform discrete set, given ? = {0, r/N} + 2Z, where N ? 1 (an integer) and r is an odd integer with 1 ? r ? 2N?1 such that r and N are relatively prime and Z is the set of all integers. In this article, we continue this study based on non-standard setting and obtain some inequalities for the nonuniform wavelet system {f?j,?(x) = (2N)j/2f((2N)
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Toda, Hiroshi, Zhong Zhang, and Takashi Imamura. "Perfect-translation-invariant variable-density complex discrete wavelet transform." International Journal of Wavelets, Multiresolution and Information Processing 12, no. 04 (2014): 1460001. http://dx.doi.org/10.1142/s0219691314600017.

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The theorems giving the conditions for discrete wavelet transforms (DWTs) to achieve perfect translation invariance (PTI) have already been proven, and based on these theorems, the dual-tree complex DWT and the complex wavelet packet transform, achieving PTI, have already been proposed. However, there is not so much flexibility in their wavelet density. In the frequency domain, the wavelet density is fixed by octave filter banks, and in the time domain, each wavelet is arrayed on a fixed coordinate, and the wavelet packet density in the frequency domain can be only designed by dividing an octa
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Nagendran, R., and A. Vasuki. "Hyperspectral image compression using hybrid transform with different wavelet-based transform coding." International Journal of Wavelets, Multiresolution and Information Processing 18, no. 01 (2019): 1941008. http://dx.doi.org/10.1142/s021969131941008x.

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Hyperspectral image resolution offers limited spectral bands within a continual spectral spectrum, creating one of the spectra of most pixels inside the sequence which contains huge volume of data. Data transmission and storage is a challenging task. Compression of hyperspectral images are inevitable. This work proposes a Hyperspectral Image (HSI) compression using Hybrid Transform. First the HSI is decomposed into 1D and it is clustered and tiled. Each cluster is applied with Integer Karhunen–Loeve Transform (IKLT) and as such it is applied for whole image to get IKLT bands in spectral dimens
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Lee, Sunil, Chang D. Yoo, and Ton Kalker. "Reversible Image Watermarking Based on Integer-to-Integer Wavelet Transform." IEEE Transactions on Information Forensics and Security 2, no. 3 (2007): 321–30. http://dx.doi.org/10.1109/tifs.2007.905146.

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Chen, Renxi, and Xinhui Li. "DEM compression based on integer wavelet transform." Geo-spatial Information Science 10, no. 2 (2007): 133–36. http://dx.doi.org/10.1007/s11806-007-0038-8.

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Dissertations / Theses on the topic "Integer Wavelet Transform"

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Game, Adrian Colin. "Design and real-time hardware implementation of binary integer wavelet transforms." Thesis, University of Warwick, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.487814.

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This thesis explores methods to construct efficient wavelet transforms for operation on Field Programmable Gate Array (FPGA) devices. Additionally the wavelets designed have been used in an audio watermarking application.
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Lai, Bo-Luen, and 賴伯倫. "Adaptive Data Hiding Based on Integer Wavelet Transform." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/04226036053706468608.

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碩士<br>國立清華大學<br>資訊工程學系<br>93<br>Key words: data hiding, wavelet transform, adaptive In this paper, we propose an adaptive data hiding method in the frequency domain. We divide original image into 8*8 sub-blocks and use Haar Discrete Wavelet Transform (HDWT) to decompose each block to obtain sub-bands, LL, HL, LH and HH. A data hiding capacity function is proposed to analyzes each band except LL. It can be used to judge the hiding length of each coefficient of each band and to decide whether the subbands LH, HL and HH are complex or not. If these three sub bands are complex, the LL band is furt
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"DESIGN AND IMPLEMENTATION OF LIFTING BASED DAUBECHIES WAVELET TRANSFORMS USING ALGEBRAIC INTEGERS." Thesis, 2013. http://hdl.handle.net/10388/ETD-2013-04-1011.

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Over the past few decades, the demand for digital information has increased drastically. This enormous demand poses serious difficulties on the storage and transmission bandwidth of the current technologies. One possible solution to overcome this approach is to compress the amount of information by discarding all the redundancies. In multimedia technology, various lossy compression techniques are used to compress the raw image data to facilitate storage and to fit the transmission bandwidth. In this thesis, we propose a new approach using algebraic integers to reduce the complexity of the Daub
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王凱億. "Progressive image compression based on integer wavelet transform and grey theory." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/85732478890376003356.

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碩士<br>國立中央大學<br>資訊工程研究所<br>89<br>In this paper a progressive image compression approach based on our proposed integer wavelet transform and grey prediction is proposed. The integer wavelet transform is based on a reversible round-off linear transform algorithm to forward and backward transform integers without any loss. The proposed compression approach is combining the EZW method and a grey prediction to compress images. EZW is a famous wavelet-based image compression and the grey prediction is based on the grey theo
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Fong, Chen Shih, and 陳仕峯. "A Robust Multiple Logo-Watermarking Scheme Based on Integer Wavelet Transform." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/48865443739964616534.

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碩士<br>輔仁大學<br>資訊工程學系<br>96<br>This paper proposes an integer wavelet-based multiple logo-watermarking process for the copyright protection of still images. The watermark logo is embedded into integer wavelet coefficients of low-pass and high-pass bands at the first level of discrete wavelet transform decomposition. Based on the properties of modular operation, the algorithm utilizes multiple modular operations with different threshold values to modify the wavelet coefficients. To enhance security, the scramble method is used to permute the meaningful watermark logo, and the one-way determinist
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Su, Pa, and 蘇珮. "Design of An Efficient VLSI Architecture for the Integer Wavelet Transform." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/11568887677249327675.

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Yu, Chwen-Jiun, and 余淳鈞. "A Novel Lossless Image Compression Using Integer Wavelet Transform and Quadtree Segmentation." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/75272077832708729627.

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碩士<br>國立清華大學<br>資訊工程學系<br>87<br>In this paper, we propose a new algorithm for lossless image compression. It has two stages. The first stage transform the images into wavelet coefficients with integer wavelet transform. It decomposes the image into several subbands and reduce its entropy. The second stage is to code the wavelet coefficients with arithmetic coding. In order to improve the coding efficiency, we also takes advantage of quadtree segmentation. If the bit rates of a block of the wavelet coefficients after the arithm
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Chen, Pei-Lun, and 陳培倫. "Efficient Information Hiding Techniques based on Integer Wavelet Transform and Interval Expansion." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/87120727269901118468.

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碩士<br>朝陽科技大學<br>資訊管理系碩士班<br>97<br>As the technology advances, people can easily exchange messages via the Internet, but it also brings security worries. In order to protect the information will not be illegal person stealed, scholars proposed the information hiding technique to embed secret messages into pictures, images, audios, and other multimedia to generate stego media for the protection of private information. This paper proposes an information hiding method that exploits the Integer Wavelet Transform and Replace Function. First of all, the cover image is transformed into frequency coeff
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Joseph, Smitha. "Implementation of the two dimensional integer wavelet transform for transmission of images." 2004. http://www.lib.ncsu.edu/theses/available/etd-10262004-161831/unrestricted/etd.pdf.

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Mehrotra, Abhishek. "Shape Adaptive Integer Wavelet Transform Based Coding Scheme For 2-D/3-D Brain MR Images." Thesis, 2004. https://etd.iisc.ac.in/handle/2005/1171.

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Book chapters on the topic "Integer Wavelet Transform"

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Zhang, Li-bao, and Ming-quan Zhou. "Embedded Reversible Medical Image Compression Using Integer Wavelet Transform." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-37275-2_76.

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González-Lee, Mario, Luis J. Morales-Mendoza, Rene F. Vázquez-Bautista, Celia Calderon-Ramon, Héctor Pérez-Meana, and Mariko Nakano-Miyatake. "Integer Wavelet Transform Based Watermarking System for PCM Signals." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38989-4_19.

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Peng, Jing. "Image Denoising Method Applying PCA based on Integer Wavelet Transform." In Lecture Notes in Electrical Engineering. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2386-6_128.

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Xuan, Guorong, Chengyun Yang, Yizhan Zhen, Yun Q. Shi, and Zhicheng Ni. "Reversible Data Hiding Using Integer Wavelet Transform and Companding Technique." In Digital Watermarking. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31805-7_10.

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Singh, Siddharth, Rajiv Singh, and Tanveer J. Siddiqui. "Singular Value Decomposition Based Image Steganography Using Integer Wavelet Transform." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-28658-7_50.

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Fernandez, Jincy J., and Nithyanandam Pandian. "Iris Recognition Using Integer Wavelet Transform and Log Energy Entropy." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6987-0_2.

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Wu, Xiaoyun, Hongmei Liu, and Jiwu Huang. "Semi-fragile Watermarking Based on Zernike Moments and Integer Wavelet Transform." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11552451_153.

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Shet, K. Sathish, Nagaveni, and A. R. Aswath. "Image Steganography Using Integer Wavelet Transform Based on Color Space Approach." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11933-5_95.

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Bhardwaj, Rajrishi, and Saurabh Chaudhury. "Digital Image Watermarking Using Integer Wavelet Transform and Singular Value Decomposition." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6855-8_11.

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Niijima, Koichi, and Shigeru Takano. "Finding of Signal and Image by Integer-Type Haar Lifting Wavelet Transform." In Progress in Discovery Science. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45884-0_37.

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Conference papers on the topic "Integer Wavelet Transform"

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Chidirala, Bharathi, Bibhudendra Acharya, and Bijayananda Patnaik. "Securing Digital Images with Triple Watermarks: An Integer Wavelet Transform Approach." In 2024 Global Conference on Communications and Information Technologies (GCCIT). IEEE, 2024. https://doi.org/10.1109/gccit63234.2024.10861970.

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Bouarroudj, Riadh, Feryel Souami, and Fatma Zohra Bellala. "Color and Grayscale Medical Image Authentication and Self-Recovery Based on Integer-to-Integer Wavelet Transform." In 2024 International Conference of the African Federation of Operational Research Societies (AFROS). IEEE, 2024. https://doi.org/10.1109/afros62115.2024.11037019.

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Wang, Fenghua, Hongyuan Sun, Jihong Pei, Xun Yang, and Wenfang Dong. "Wavelet pyramid structure based on integer wavelet transform." In International Conference on Space information Technology, edited by Cheng Wang, Shan Zhong, and Xiulin Hu. SPIE, 2005. http://dx.doi.org/10.1117/12.657968.

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Bankar, Ajinkya Suryakant, and Dipali Dattatray Jadhav. "FPGA implementation of integer wavelet transform." In 2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO). IEEE, 2015. http://dx.doi.org/10.1109/eesco.2015.7254038.

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PremChandran, Kavya, and Krishnakumar K.P. "ECG steganography using Integer Wavelet transform." In 2015 International Conference on Computer Communication and Informatics (ICCCI). IEEE, 2015. http://dx.doi.org/10.1109/iccci.2015.7218152.

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Yassen, Sara, Tarek Gaber, and Aboul Ella Hassanien. "Integer wavelet transform for thermal image authentication." In 2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR). IEEE, 2015. http://dx.doi.org/10.1109/socpar.2015.7492794.

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Tay, D. B. H. "Integer wavelet transform for medical image compression." In ANZIIS 2001. Proceedings of the Seventh Australian and New Zealand Intelligent Information Systems Conference. IEEE, 2001. http://dx.doi.org/10.1109/anziis.2001.974104.

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Chin-Pan Huang and Ching-Chung Li. "A Secret Image Sharing Method Using Integer-to-Integer Wavelet Transform." In 18th International Conference on Pattern Recognition (ICPR'06). IEEE, 2006. http://dx.doi.org/10.1109/icpr.2006.170.

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Karmakar, Jayashree, and Mrinal Kanti Mandal. "Chaos-based Image Encryption using Integer Wavelet Transform." In 2020 7th International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2020. http://dx.doi.org/10.1109/spin48934.2020.9071316.

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Ma, Ning, Wei Yan, and Qingdong Wang. "Integer wavelet transform for weather radar data compression." In Multispectral Image Processing and Pattern Recognition, edited by Jun Tian, Tieniu Tan, and Liangpei Zhang. SPIE, 2001. http://dx.doi.org/10.1117/12.442917.

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