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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.


Papers
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Journal Article
TL;DR: It was introduced the function of quantization tables in the JPEG image based on the principle of the JPEGimage compression algorithm and standard and designed a software to extract quantization table from the JPEG images.
Abstract: It was introduced the function of quantization tables in the JPEG image based on the principle of the JPEG image compression algorithm and standard,designed a software to extract quantization tables from the JPEG images,put emphasis on analyzing the relationship between the extracted quantization tables and the image qualityThe result of the experiments showed that the quantization table was an important factor affecting the image quality

3 citations

Journal ArticleDOI
TL;DR: An efficient lossless coding algorithm for encoding residual data based on H.264/AVC that uses the Hadamard transform to take advantage of data compaction is proposed and reduces the bit rate by >7.5%.
Abstract: An efficient lossless coding algorithm for encoding residual data based on H.264/AVC that uses the Hadamard transform to take advantage of data compaction is proposed. To reduce redundancies, the transformed coefficients are compacted using a compact truncation. The compacted coefficients are then compressed by an improved context-based adaptive variable length coding coder. Simulation results show that the proposed lossless residual coding algorithm reduces the bit rate by >7.5% compared with those obtained using existing H.264/AVC lossless coding systems.

3 citations

Proceedings ArticleDOI
29 Oct 1993
TL;DR: The potential applications of the various JPEG coding modes in a medical environment are evaluated and it is concluded that the JPEG standard is versatile enough to match the requirements of the medical community.
Abstract: JPEG is a very versatile image coding and compression standard for single images. Medical images make a higher demand on image quality and precision than the usual 'pretty pictures'. In this paper the potential applications of the various JPEG coding modes in a medical environment are evaluated. Due to legal reasons the lossless modes are especially interesting. The spatial modes are equally important because medical data may well exceed the maximum of 12 bit precision allowed for the DCT modes. The performance of the spatial predictors is investigated. From the users point of view the progressive modes, which provide a fast but coarse approximation of the final image, reduce the subjective time one has to wait for it, so they also reduce the user's frustration. Even the lossy modes will find some applications, but they have to be handled with care, because repeated lossy coding and decoding leads to a degradation of the image quality. The amount of this degradation is investigated. The JPEG standard alone is not sufficient for a PACS because it does not store enough additional data such as creation data or details of the imaging modality. Therefore it will be an imbedded coding format in standards like TIFF or ACR/NEMA. It is concluded that the JPEG standard is versatile enough to match the requirements of the medical community.© (1993) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

3 citations

Journal Article
TL;DR: The proposed lossless/lossy coding criterion consists of three parameters: “,” “ ”a nd “ .” the first parameter is a criterion to evaluate lossless coding performance of the LLW, whereas the second and the third parameters are criteria to evaluate Lossy coding performance at low bit rate and high bit rate, respectively.
Abstract: SUMMARY In this paper, we propose lossless/lossy coding criterion as a new objective criterion to theoretically evaluate coding performance of the lossless/lossy wavelet (LLW) The proposed lossless/lossy coding criterion consists of three parameters: “ ,” “ ”a nd “ ” The first parameter is a criterion to evaluate lossless coding performance of the LLW, whereas the second and the third parameters are criteria to evaluate lossy coding performance of the LLW at low bit rate and high bit rate, respectively Relation among those three parameters is clearly illustrated in this paper Performances of 15 kinds of the LLW are measured with two-dimensional (2D)octave-decomposition by applying some standard images and 2D AR(1)model as input

3 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202321
202240
20215
20202
20198
201815