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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05 Jul 2007
TL;DR: In this article, a special combination of one-time header information with repeated header information in a block structure is used to identify the different layers of a lossy-based lossless coding.
Abstract: Lossless audio coding performs decorrelation and encodes the transformed signal. The encoded bit stream comprises de-correlation parameters and the lossless representation data of the transformed signal. However, in the case of lossy based lossless coding, the additional amount of information exceeds the base layer amount of data. Therefore the additional data cannot be packed completely into the base layer e.g. as ancillary data. The data streams resulting from the combination of lossy coding format with a lossless coding extension are the base layer containing the lossy coding information and the enhancement data stream for rebuilding the mathematically lossless original input signal. Every higher layer depends on the lower layers and can only be reasonably decoded in combination with these lower layers. According to the invention, a special combination of one-time header information with repeated header information in a block structure is used. Assignment information data identify the different layers.
1 citations
01 Jan 2011
TL;DR: The paper evaluates the performance of inverse Discrete Cosine Transform Algorithm of WMV-9/VC-1 in place of existing algorithm used in JPEG using Peak Signal to Noise Ratio abstract calculated on standard images.
Abstract: The paper evaluates the performance of inverse Discrete Cosine Transform Algorithm of WMV-9/VC-1 in place of existing algorithm used in JPEG. The Performance evaluation is done on the basis of Peak Signal to Noise Ratio abstract calculated on standard images.
1 citations
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01 May 1994TL;DR: In this article, the authors investigated the replacement of the DCT block transform in the JPEG with the fully decomposed wavelet packet transform while keeping all other building blocks the same with the objective to improve the performance of the JPEG.
Abstract: The block DCT transform plays an important role in the JPEG still image compression standard. In this research, we investigate the replacement of the DCT block transform in the JPEG with the fully-decomposed wavelet packet transform while keeping all other building blocks the same with the objective to improve the performance of the JPEG. Different wavelet packet bases have been used in experiments. Most of them give better performance than that of the DCT-based JPEG scheme in the mean square error measure as well as visual appearance.
1 citations
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26 Jul 2011TL;DR: The whole system, which meets the JPEG standard for the requirements of image compression quality and compression ratio, can support the processing speed of 400fps for 1024×768 gray images, when the encoder core number is 4 and the working frequency is 100MHz.
Abstract: This paper presents a design scheme of high-speed JPEG image encoding system based on FPGA. The encoder of this system can achieve the parallel processing of the input image sequences and work in pipeline mode. According to simulation test and FPGA verification, the whole system, which meets the JPEG standard for the requirements of image compression quality and compression ratio, can support the processing speed of 400fps for 1024×768 gray images, when the encoder core number is 4 and the working frequency is 100MHz. The high performance of the system can fully satisfy the demands of high-speed and real time encoding applications.
1 citations
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TL;DR: Simulation experiments show that the reconstructed images are of good quality satisfying people's visual requirement with PSNR above 30 db under the circumstances of very large compression range at various compression ratio and bit rate.
Abstract: The algorithm of the JPEG image compression based on DCT was discussedThen simulation experiments were done with Matlab 65 and rate distortion curve was drawn with different compression to the same image LenaSimulation experiments show that the reconstructed images are of good quality satisfying people's visual requirement with PSNR above 30 db under the circumstances of very large compression range at various compression ratio and bit rateDifferent types of compression of the images satisfy the demands of different image quality on various occasion and rate controlThe method doing experiments with Matlab is simple and with little errorIt can improve the efficiency and precision of the image compression greatly
1 citations