Topic
Lossless JPEG
About: Lossless JPEG is a research topic. Over the lifetime, 2415 publications have been published within this topic receiving 51110 citations. The topic is also known as: Lossless JPEG & .jls.
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Papers
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04 Apr 2003TL;DR: In this paper, a joint photographic expert group (JPEG) table decoder and a method thereof based on a binary search technique were proposed to reduce comparison time and an amount of memory required for searching the symbols.
Abstract: A joint photographic expert group (JPEG) Huffman table decoder and a method thereof based on a binary search technique. The JPEG Huffman table decoder performs symbol matching based on the binary search and calculates an address of the matched symbol in code book data. Comparison time and an amount of memory required for searching the symbols are reduced.
4 citations
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TL;DR: The matrices of WAPBT based on DFT, WHT, DCT and IDCT are deduced, which can be used in image compression instead of the conventional DCT, and the image compression scheme proposed in this paper is called WAP BT-based JPEG (WAPBT-JPEG).
Abstract: This paper proposes new concepts of the windowed all phase biorthogonal transform (WAPBT), which is inspired by the all phase biorthogonal transform (APBT). In the light of windowed all phase digital filter theory, windowed all phase biorthogonal transforms is proposed. The matrices of WAPBT based on DFT, WHT, DCT and IDCT are deduced, which can be used in image compression instead of the conventional DCT, and the image compression scheme proposed in this paper is called WAPBT-based JPEG (WAPBT-JPEG). With optimal window sequence of WAPBT for image compression obtained by using generalized pattern search algorithm (GPSA), the peak signal to noise ratio (PSNR) and visual quality of the reconstructed images using the WAPBT-JPEG is outgoing DCT-based JPEG (DCT-JPEG) and APBT-based JPEG (APBT- JPEG) approximately at all bit rates. What is more, by comparison with DCT-JPEG, the advantage of proposed scheme is that the quantization table is simplified and the transform coefficients can be quantized uniformly. Therefore, the computing time becomes shorter and the hardware implementation is easier. Index Terms—Windowed all phase biorthogonal transform (WAPBT), image compression, discrete cosine transform (DCT), JPEG algorithm, generalized pattern search algorithm (GPSA), windowed all phase digital filter (APDF)
4 citations
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01 Jun 2014TL;DR: Results suggest that Cohen-Daubechies-Feauveau (CDF) 9/7 integer-coefficient wavelet transform with five levels of spectral subband decomposition would be an efficient spectral decorrelator for on-board lossless hyperspectral image compression.
Abstract: Integer-coefficient Discrete Wavelet Transformation (DWT) filters widely used in the literature are implemented and investigated as spectral decorrelator for on-board lossless hyperspectral image compression. As the performance of spectral decorrelation step has direct impact on the compression ratio (CR), it is important to employ the most convenient spectral decorrelator in terms of low computational complexity and high CR. Extensive tests using AVIRIS image data set are carried out and CRs corresponding to various subband decomposition levels are presented within a lossless hyperspectral compression framework. Results suggest that Cohen-Daubechies-Feauveau (CDF) 9/7 integer-coefficient wavelet transform with five levels of spectral subband decomposition would be an efficient spectral decorrelator for on-board lossless hyperspectral image compression.
4 citations
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16 Oct 2006TL;DR: In this research, an algorithm for colored digital image watermarking is proposed, which gets more than 70 dB of average PSNR for all used images and watermarks which satisfy the PSNR bench mark.
Abstract: In this research, an algorithm for colored digital image watermarking is proposed. The 24 bits/pixel RGB images are converted to the YIQ color model which is used in NTSC TV system, and the watermark is placed on the Y part of the resulted image after scrambling it using pseudo-random permutation. Also, insertion of the watermark bits on the host image blocks is done in a pseudo-random fashion. The algorithm takes into account the Human Visual System. This algorithm gets more than 70 dB of average PSNR for all used images and watermarks which satisfy the PSNR bench mark. Also it gets about 0.09 of MAE, the robustness measure, which means that it is very robust after testing it using the following attacks: low pass filtering, median filtering, scaling, cropping, rotation, JPEG 100, JPEG 75, JPEG 50 and JPEG 25.
4 citations