Topic
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.
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12 Aug 2012
TL;DR: Experimental results show that steganalysis methods are effective in detecting context-aware-based JPEG forgery and the method is superior to other compared detection methods.
Abstract: Content-aware image resizing, also known as image retargeting, seam carving, content-aware scaling, is originally proposed to automatically remove the paths of least importance, known as seams, to reduce image size or insert seams to extend it, in order to display images without distortion on various media especially on mobile devices, such as smartphones and PDAs. Content-aware scaling also allows removing entire objects from photographs without observed clues, and hence it has been used to tamper images. Due to the ubiquity of JPEG images on various mobile devices, it is increasingly necessary to authenticate these JPEG images for legitimate purposes. To detect the content-aware-based forgery in JPEG images, in this paper, we merge shift-recompression-based characteristic features in spatial domain and shift-recompression-based neighboring joint density in DCT domain together; an ensemble classifier is used to discriminate forged JPEG images from intact JPEG images. We also transfer other popular JPEG-based steganalysis methods to detecting the forgery. Experimental results show that steganalysis methods are effective in detecting context-aware-based JPEG forgery and our method is superior to other compared detection methods.
11 citations
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TL;DR: This paper proposes on-line ECG lossless compression for a given data on a finite alphabet and gives not only better compression ratios than traditional lossless data compression algorithms but also uses less computational space than they do.
Abstract: An antidictionary is particularly useful for data compression, and on-line electrocardiogram (ECG) lossless compression algorithms using antidictionaries have been proposed. They work in real-time with constant memory and give better compression ratios than traditional lossless data compression algorithms, while they only deal with ECG data on a binary alphabet. This paper proposes on-line ECG lossless compression for a given data on a finite alphabet. The proposed algorithm gives not only better compression ratios than those algorithms but also uses less computational space than they do. Moreover, the proposed algorithm work in real-time. Its effectiveness is demonstrated by simulation results.
11 citations
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09 Jan 1998TL;DR: Z coding system that supports both the lossless coding of such graphics data and regular lossy video compression is studied and a simple block predictive coding technique featuring individual pixel access is introduced, so that it enables a gradual shift from lossed coding of graphics to the lossy coding of video.
Abstract: The diversity in TV images has augmented with the increased application of computer graphics. In this paper we study z coding system that supports both the lossless coding of such graphics data and regular lossy video compression. The lossless coding techniques are based on runlength and arithmetical coding. For video compression, we introduce a simple block predictive coding technique featuring individual pixel access, so that it enables a gradual shift from lossless coding of graphics to the lossy coding of video. An overall bit rate control completes the system. Computer simulations show a very high quality with a compression factor between 2-3.© (1998) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
11 citations
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07 May 1996TL;DR: The proposed pyramidal coder shows several advantages: computation is greatly reduced compared to the DCT, image edges are better encoded, blocking is eliminated, and it allows lossless coding.
Abstract: We propose a novel pyramidal coder, which resembles the general structure of a JPEG coder, but which uses a nonlinear transform to replace the DCT. The nonlinear transform is obtained by the hierarchical application of a median filter predictor at subsampled versions of the original signal. The transformed samples are grouped into square blocks and used to replace the DCT in the JPEG baseline coder. The proposed coder shows several advantages: computation is greatly reduced compared to the DCT, image edges are better encoded, blocking is eliminated, and it allows lossless coding. Objective comparisons show the superiority of the proposed coder against both baseline and lossless JPEG.
11 citations
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TL;DR: This paper intends to provide the performance analysis of lossless compression techniques over various parameters like compression ratio, delay in processing, size of image etc as well as to propose the possible reasons behind differences in comparison.
Abstract: increasing need to store data in lesser memory several lossless compression techniques are developed. This paper intends to provide the performance analysis of lossless compression techniques over various parameters like compression ratio, delay in processing, size of image etc. It provides the relevant data about variations in them as well as to describe the possible causes for it. It describes the basic lossless techniques as Huffman encoding, run length encoding, arithmetic encoding and Lempel-ziv-welch encoding briefly with their effectiveness under varying parameters. Considering the simulation results of grayscale image compression achieved in MATLAB software, it also focused to propose the possible reasons behind differences in comparison.
11 citations