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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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Proceedings ArticleDOI
26 Dec 2006
TL;DR: The results show that the performance of the proposed method is superior to currently available techniques under noisy conditions and allows for the development of error correction and protection mechanisms and reduces computational effort.
Abstract: This paper presents a novel approach to image fusion in the JPEG 2000 domain. In this scheme, compressed images are fused without the need for full decompression. The proposed method can be integrated with the existing JPEG 2000 tools. It offers several benefits: it avoids error propagation, allows for the development of error correction and protection mechanisms and reduces computational effort. This paper also presents a comparison with commonly used algorithms for image fusion and studies their performance in the presence of compression and transmission losses. The results show that the performance of the proposed method is superior to currently available techniques under noisy conditions.

2 citations

Proceedings ArticleDOI
23 May 2004
TL;DR: A new image compression method is proposed, which is combined with the standard JPEG and an adaptive resolution conversion, and the proposed hybrid method is realized smaller quantization parameter than thestandard JPEG, and it obtains a high quality decoded image.
Abstract: It is well known that the standard JPEG algorithm causes visually disturbing blocking effects when we obtain a high compression ratio image. In order to obtain a better quality image with high compression ratio, we propose a new image compression method, which is combined with the standard JPEG and an adaptive resolution conversion. Since the resolution conversion can reduce the image data, the proposed hybrid method is realized smaller quantization parameter than the standard JPEG, and we obtain a high quality decoded image. In the proposed method, compression is performed by two factors as the quantization and the resolution conversion. We study how to adjust two factors. The proposed method archives high quality image compression only adding the small system to the JPEG.

2 citations

Journal ArticleDOI
TL;DR: This paper proposes a lossless color image compression method using hierarchical prediction of chrominance channel pixels and encoded with modified Huffman coding and effective context modeling for prediction residual is adopted.
Abstract: In case of the conventional lossless color image compression methods, the pixels are interleaved from each color component, and they are predicted and finally encoded. In this paper, we propose a lossless color image compression method using hierarchical prediction of chrominance channel pixels and encoded with modified Huffman coding. An input image is chosen and the R, G and B color channel is transform into YCuCv color space using an improved reversible color transform. After that a conventional lossless image coder like CALIC is used to compress the luminance channel Y. The chrominance channel Cu and Cv are encoded with hierarchical decomposition and directional prediction. The effective context modeling for prediction residual is adopted finally. It is seen from the experimental result the proposed method improves the compression performance than the existing method.

2 citations

Proceedings ArticleDOI
24 Nov 2003
TL;DR: A method of subjective image evaluation for image compression called calibrated rank ordering (CRO) is introduced, attractive because it produces substantial numerical results without excessive burden on the observers.
Abstract: One difficulty in image compression research is designing meaningful performance metrics. Purely numerical measures such as PSNR are unsatisfactory because they do not correlate well with human assessment. We introduce a method of subjective image evaluation for image compression called calibrated rank ordering (CRO). CRO is attractive because it produces substantial numerical results without excessive burden on the observers. Using CRO we compare traditional JPEG with JPEG 2000 in a variety of modes. We also consider the effect of differing images sources, i.e., digital still camera vs. film scan. Finally, we compare and contrast the artifacts of both JPEG and JPEG 2000.

2 citations

Proceedings Article
01 Sep 2008
TL;DR: The paper modeling stage of a simple and efficient lossless image coding technique intended for use in real-time hardware coding system is described, based on predictors blending approach, which is the kernel of some the best current lossless coding methods.
Abstract: In the paper modeling stage of a simple and efficient lossless image coding technique intended for use in real-time hardware coding system is described. The method is based on predictors blending approach, which is the kernel of some the best current lossless coding methods. Additionally, prediction blending is well suited for parallel implementations. The predictor blending is combined with context coding, and bias removal algorithm, the latter one implements both CALIC, and LOCO-I approaches. Experiments show that indeed, the new technique has better performance than the widely known older methods.

2 citations


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