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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 ArticleDOI
TL;DR: Llyod 10:1 compression is suitable for on-call electronic transmission of body CT images as long as original images are subsequently reviewed.
Abstract: PURPOSE: To determine acceptable levels of JPEG (Joint Photographic Experts Group) and wavelet compression for teleradiologic transmission of body computed tomographic (CT) images. MATERIALS AND METHODS: A digital test pattern (Society of Motion Picture and Television Engineers, 512 × 512 matrix) was transmitted after JPEG or wavelet compression by using point-to-point and Web-based teleradiology, respectively. Lossless, 10:1 lossy, and 20:1 lossy ratios were tested. Images were evaluated for high- and low-contrast resolution, sensitivity to small signal differences, and misregistration artifacts. Three independent observers who were blinded to the compression scheme evaluated these image quality measures in 20 clinical cases with similar levels of compression. RESULTS: High-contrast resolution was not diminished with any tested level of JPEG or wavelet compression. With JPEG compression, low-contrast resolution was not lost with 10:1 lossy compression but was lost at 3% modulation with 20:1 lossy compres...

67 citations

Proceedings ArticleDOI
12 May 2008
TL;DR: The shifted double JPEG compression (SD-JPEG) is formulated as a noisy convolutive mixing model mostly studied in blind source separation (BSS), and in noise free condition, the model can be solved by directly applying the independent component analysis (ICA) method with minor constraint to the contents of natural images.
Abstract: The artifacts by JPEG recompression have been demonstrated to be useful in passive image authentication. In this paper, we focus on the shifted double JPEG problem, aiming at identifying if a given JPEG image has ever been compressed twice with inconsistent block segmentation. We formulated the shifted double JPEG compression (SD-JPEG) as a noisy convolutive mixing model mostly studied in blind source separation (BSS). In noise free condition, the model can be solved by directly applying the independent component analysis (ICA) method with minor constraint to the contents of natural images. In order to achieve robust identification in noisy condition, the asymmetry of the independent value map (IVM) is exploited to obtain a normalized criteria of the independency. We generate a total of 13 features to fully represent the asymmetric characteristic of the independent value map and then feed to a support vector machine (SVM) classifier. Experiment results on a set of 1000 images, with various parameter settings, demonstrated the effectiveness of our method.

67 citations

Journal ArticleDOI
TL;DR: Experimental results show that the proposed steganographic method has superior performance both in capacity and security, and is practical for the application of secret communication.

66 citations

Journal ArticleDOI
TL;DR: A novel architecture for JPEG XR encoding is proposed and discussion of image partition and windowing techniques is given, including frequency transform and quantization.
Abstract:  Abstract—JPEG XR is an emerging image coding standard, based on HD Photo developed by Microsoft technology. It supports high compression performance twice as high as the de facto image coding system, namely JPEG, and also has an advantage over JPEG 2000 in terms of computational cost. JPEG XR is expected to be widespread for many devices including embedded systems in the near future. This review-based paper proposes a novel architecture for JPEG XR encoding. This paper gives discussion of image partition and windowing techniques. Further frequency transform and quantization is also addressed. A brief insight into Predication, Adaptive Encode and Packetization has been provided in the paper.

66 citations

Journal ArticleDOI
TL;DR: An online preprocessing technique is proposed, which, although very simple, is able to provide significant improvements in the compression ratio of the images that it targets and shows a good robustness on other images.
Abstract: This article addresses the problem of improving the efficiency of lossless compression of images with sparse histograms. An online preprocessing technique is proposed, which, although very simple, is able to provide significant improvements in the compression ratio of the images that it targets and shows a good robustness on other images.

65 citations


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