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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14 Nov 2005
TL;DR: A novel and computationally simple prediction stage in a Daubechies 5/3 wavelet - like lifting structure for lossless image compression - that predicts according to a local gradient direction estimator of the image.
Abstract: We present a novel and computationally simple prediction stage in a Daubechies 5/3 - like lifting structure for lossless image compression. In the 5/3 wavelet, the prediction filter predicts the value of an odd-indexed polyphase component as the mean of its immediate neighbors belonging to the even-indexed polyphase components. The new edge adaptive predictor, however, predicts according to a local gradient direction estimator of the image. As a result, the prediction domain is allowed to flip + or -45 degrees with respect to the horizontal or vertical axes in regions with diagonal gradient. We have obtained good compression results with conventional lossless wavelet coders.
1 citations
01 Jan 2012
TL;DR: Based on the testing results using an open palmprint image database, analysis and comparison, CALIC gives high compression ratios in a reasonable time, whereas JPEGLS is nearly as effective and very fast; the performance shows that a guide is given to choose which lossless palm print image compression algorithm.
Abstract: In this study, lossless grayscale image compression methods are compared on public palmprint image databases. Effect of lossy compression algorithms on biometric samples has been well studied. However, lossless compression algorithms on the compression ratios have little been appreciated. In this study, we review and the stateofart lossless compression algorithms and investigate the performance using different when processing palmprint sample data. In particular, including those based on transformation (integer transform based in the JPEG , JPEG2000 and JPEG XR system, as well as the SPbased transform coding method), based on predictive lossless compression algorithms (LJPEG, CALIC and JPEGLS), dictionarybased compression methods (PNG UHA,7z and RAR). To gain a better and reliable result, these lossless compression algorithms are employed to test on different palmprint databases. Based on the testing results using an open palmprint image database, analysis and comparison, CALIC gives high compression ratios in a reasonable time, whereas JPEGLS is nearly as effective and very fast. The performance shows that a guide is given to choose which lossless palmprint image compression algorithm. At last, to find better solutions on how to improve lossless compression performance, we give some examples and suggestions.
1 citations
Journal Article•
TL;DR: It is observed that for very less variation in PSNR value compression ratio has increased considerably and the results of JPEG and a Hybrid model are compared.
Abstract: In this paper we have discussed the fundamentals of image compression and compared the results of JPEG and a Hybrid model. In hybrid model we have used DWT (Discrete Wavelet Transform) and DCT (Discrete cosine Transform) for transform mapping. As we know that DWT has its multi resolution property which is helpful for image compression. As in JPEG 2000 also DWT is used but EBCOT (Embedded Block Code for Optimal Truncation) coding has high computational complexity. For JPEG we have taken results for different quality factor values and for hybrid model also we have taken results for different quality factor values and compared it is observed that for very less variation in PSNR value compression ratio has increased considerably.
1 citations
22 May 1991
TL;DR: An analysis is made of the progressive JPEG still image coding scheme which introduces different alternatives for the transform coding block and the various solutions are compared in terms of coding efficiency, codec complexity, and quality impact measured for the successive coding steps.
Abstract: Spectral selection and hierarchical build up are two progressive coding modes which have been defined for the emerging Joint Photographic Experts Group (JPEG) compression standard. An analysis is made of the progressive JPEG still image coding scheme which introduces different alternatives for the transform coding block. The various solutions are compared in terms of coding efficiency, codec complexity, and quality impact measured for the successive coding steps. >
1 citations
Journal Article•
TL;DR: The lossless compression technology of image is analysed and several important problems about the compression algorithms are discussed in detail.
Abstract: The predictive encoding is one of the basic techniques realizing image lossless compression. In this paper, the lossless compression technology of image is analysed and several important problems about the compression algorithms are discussed in detail. At last, an overview of the development of research on predictive model for image is also given.
1 citations