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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: This paper develops a simple yet very effective detection algorithm to identify decompressed JPEG images that outperforms the state-of-the-art methods by a large margin especially for high-quality compressed images through extensive experiments on various sources of images.
Abstract: To identify whether an image has been JPEG compressed is an important issue in forensic practice. The state-of-the-art methods fail to identify high-quality compressed images, which are common on the Internet. In this paper, we provide a novel quantization noise-based solution to reveal the traces of JPEG compression. Based on the analysis of noises in multiple-cycle JPEG compression, we define a quantity called forward quantization noise. We analytically derive that a decompressed JPEG image has a lower variance of forward quantization noise than its uncompressed counterpart. With the conclusion, we develop a simple yet very effective detection algorithm to identify decompressed JPEG images. We show that our method outperforms the state-of-the-art methods by a large margin especially for high-quality compressed images through extensive experiments on various sources of images. We also demonstrate that the proposed method is robust to small image size and chroma subsampling. The proposed algorithm can be applied in some practical applications, such as Internet image classification and forgery detection.

52 citations

Journal Article
TL;DR: First results on lossless transform coding of CD-quality audio data are presented, using a codebook with different entropy codes for the transform coefficients to achieve bitrates slightly better then those obtained by the lossless linear prediction schemes.
Abstract: Recent papers have proposed linear prediction as a useful method for lossless audio coding. Transform coding, however, hasn’t been investigated so far, although it seems to be more adapted to the harmonic structure of most audio signals. In this paper we present first results on lossless transform coding of CD-quality audio data. One main aspect lies on a suitable quantization method to obtain perfect reconstruction. Using a codebook with different entropy codes for the transform coefficients we achieve bitrates, slightly better then those obtained by the lossless linear prediction schemes mentioned above.

52 citations

Proceedings ArticleDOI
Aria Nosratinia1
07 Dec 1998
TL;DR: This approach simply re-applies JPEG to the shifted versions of the already-compressed image, and forms an average, which offers better performance than other known methods, including those based on nonlinear filtering, POCS, and redundant wavelets.
Abstract: A novel method is proposed for post-processing of JPEG-encoded images, in order to reduce coding artifacts and enhance visual quality. Our method simply re-applies JPEG to the shifted versions of the already-compressed image, and forms an average. This approach, despite its simplicity, offers better performance than other known methods, including those based on nonlinear filtering, POCS, and redundant wavelets.

51 citations

Proceedings ArticleDOI
26 May 2013
TL;DR: Experimental results show that the proposed method outperforms the state-of-the-art methods in a better trade-off between forensic undetectability and visual quality of processed images.
Abstract: The objective of JPEG anti-forensics is to remove all the possible footprints left by JPEG compression. By contrary, there exist detectors that attempt to identify any telltale of the image tampering operation of JPEG compression and JPEG anti-forensic processing. This paper makes contribution on improving the undetectability of JPEG anti-forensics, with a higher visual quality of processed images. The employment of constrained total variation based minimization for deblocking successfully fools the forensic methods detecting JPEG blocking, and another advanced JPEG forensic detector. Calibration-based detector is also defeated by conducting a further feature value optimization. Experimental results show that the proposed method outperforms the state-of-the-art methods in a better trade-off between forensic undetectability and visual quality of processed images.

51 citations

Proceedings ArticleDOI
10 Sep 2000
TL;DR: JBIG2 was developed for applications having widely differing requirements such as facsimile, document storage and archiving, Web image coding, wireless data transmission, print spooling, and even teleconferencing and is structured as a " Toolkit of alternate capabilities to be selected based on the requirements of such applications.
Abstract: JBIG2 is a new standard for lossy and lossless compression of bi-level images. It exploits model-based coding for text and halftones; as well as nearby neighbor based coding for generic bi-level images. It can achieve compression ratios of up to three times those of existing standards for lossless textual image compression. JBIG2 also allows loss to be introduced while maintaining "visually lossless" quality for textual images, for which it can yield compression ratios of up to eight times those of existing standards. It produces even greater compression ratios when exploiting similarities between multiple pages and efficiently codes and integrates both scanned and generated bi-level images. JBIG2 was developed for applications having widely differing requirements such as facsimile, document storage and archiving, Web image coding, wireless data transmission, print spooling, and even teleconferencing. Accordingly, JBIG2 is structured as a "toolkit" of alternate capabilities to be selected based on the requirements of such applications.

51 citations


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