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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TL;DR: By means of JPEG and Laplacian pyramid coding principle implement progressive image compression and improve the user experience to meet user demand for different image quality.
Abstract: Progressive image transmission is a kind of image technology has been widely used in various fields, it can not only save bandwidth but also improve the user experience to meet user demand for different image quality. According to user's demand for image quality, realizing the progress of image compression coding flow can meet the demand of users. This article mainly introduce by means of JPEG and Laplacian pyramid coding principle implement progressive image compression.
1 citations
11 Apr 2009
TL;DR: Experiment has been shown that the new algorithm has an effect on lossless compression JPEG image, and has been obtained a preferable compression ratio with little time cost.
Abstract: Universal lossless algorithms of data compression always have very little effect on JPEG data. According to the characteristic of JPEG, a new shuffle algorithm is proposed to resize the JPEG and then use the universal lossless algorithms to compress the resized data. Experiment has been shown that the new algorithm has an effect on lossless compression JPEG image, and has been obtained a preferable compression ratio with little time cost. The new algorithm has been protected by China patent.
1 citations
TL;DR: An entropy coding method is introduced to enhance the compression efficiency of JPEG by extracting ones and negative ones from the coefficients and reducing the magnitude of all coefficients by one to improve the compression ratio.
Abstract: We introduce an entropy coding method to enhance the compression efficiency of JPEG. Because run-length coding and earlytermination work more effectively for longer zero sequences, we extract ones and negative ones from the coefficients and reduce the magnitude of all coefficients by one. The extracted coefficients are encoded with a designated entropy coding method. The proposed method can transmit images in two parts progressively, where the first contains JPEG-compatible image with a small amount of degradation and the second is used to add fine details. Our method improves the compression ratio by more than 5% without sacrificing the efficiency of JPEG. key words: JPEG, entropy coding, sub-stream extraction
1 citations
Proceedings Article•
01 Jan 2004
1 citations