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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: An image forgery detection scheme based on JPEG compression properties is proposed, which is capable of identifying objects from different origins, and provides a useful means of digital forensics.
Abstract: This paper proposes an image forgery detection scheme based on JPEG compression properties,which aims to identify a special type of images that are composed of contents from different JPEG images.Inconsistency in compression qualities and block boundaries in a suspicious image can provide a clue for forgery detection.By recompressing the image with different quality factors and analyzing the induced distortion,we can estimate the quality factor initially used in the main area of the image.Thus,inconsistency can be found from fluctuation of distortion energy in different areas.The proposed scheme is capable of identifying objects from different origins,and provides a useful means of digital forensics.

3 citations

Proceedings ArticleDOI
01 Sep 2012
TL;DR: This work introduces the extension of the JPEG 2000 framework, and compares its performance with other JPEG standards and other extensions of JPEG 2000 currently under standardization.
Abstract: Recently, the JPEG committee discussed the introduction of an “ultrafast” mode for JPEG 2000 encoding. This considered extension of the JPEG 2000 framework replaces the EBCOT coding by a combined Huffman-Runlength code, and adds an optional additional prediction step after quantization. While the resulting codec is not compatible with existing JPEG 2000, it still allows lossless transcoding from JPEG 2000 and back, and performance measurements show that it offers nearly the quality of JPEG 2000 and similar quality than JPEG XR at a much lower complexity comparable to the complexity of the IJG JPEG software. This work introduces the extension, and compares its performance with other JPEG standards and other extensions of JPEG 2000 currently under standardization.

3 citations

Proceedings ArticleDOI
01 Oct 2006
TL;DR: A kind of embedded coding to large coefficients in magnitude in a wavelet transform domain is applied and the result slightly outperforms the compression efficiency in JPEG-LS.
Abstract: This paper proposes a method of lossless image coding by the aid of lossy image coding. It aims at an improvement in the compression efficiency. We apply a kind of embedded coding to large coefficients in magnitude in a wavelet transform domain. The other wavelet coefficients are encoded by a context-based entropy coding. The result slightly outperforms the compression efficiency in JPEG-LS.

3 citations

Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper proposed to detect double JPEG compression with the same quantization matrix by leveraging the component convergence during repeated JPEG compressions, and they found that the ratio of non-zero BQE for single compression is larger than that for double compression.
Abstract: Detecting double JPEG compression with the same quantization matrix is a challenging task in image forensics. To address this problem, in this paper, a novel method is proposed by leveraging the component convergence during repeated JPEG compressions. Firstly, an in-depth analysis of the pipeline in successive JPEG compressions is conducted, and it reveals that the rounding/truncation errors as well as JPEG coefficients tend to converge after multiple recompressions. Based on this fact, the backward quantization error (BQE) is defined, and we find that the ratio of non-zero BQE for single compression is larger than that for double compression. Moreover, to exploit the convergence property of JPEG coefficients, a multi-threshold strategy is designed for capturing the statistics of the number of different JPEG coefficients between two sequential compressions. Finally, the statistical features of the dual components are concatenated into a 15-D vector to detect double JPEG compression. Experimental results demonstrate the efficiency of the proposed method, which outperforms some state-of-the-art schemes.

3 citations


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