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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
09 Sep 2002
TL;DR: This paper presents the proposal and design of architectures to be used in the final stage of JPEG compression: entropy coding, and encourages the use of the entropy coder architectures in a JPEG compressor designed in hardware.
Abstract: This paper presents the proposal and design of architectures to be used in the final stage of JPEG compression: entropy coding This paper focuses on the compression of gray scale images and color images The entropy coder architectures were described in VHDL and were synthesized for an Altera Flex10kE FPGA The entropy coder for gray scale images reaches a processing rate of 400 input matrices of 8/spl times/8 pixels per second and the entropy coder for color images reaches a processing rate of 357 matrices per second This performance is larger than the performance demanded by real time applications and it encourages the use of the entropy coder architectures in a JPEG compressor designed in hardware

7 citations

Proceedings ArticleDOI
TL;DR: The paper shows how JPEG XT's support for lossless and near-lossless coding of low and high dynamic range images is achieved in combination with backward compatibility to JPEG legacy, and the extensible boxed-based JPEG XT file format on which all following and future extensions of JPEG will be based is introduced.
Abstract: The JPEG standard has known an enormous market adoption. Daily, billions of pictures are created, stored and exchanged in this format. The JPEG committee acknowledges this success and spends continued efforts in maintaining and expanding the standard specifications. JPEG XT is a standardization effort targeting the extension of the JPEG features by enabling support for high dynamic range imaging, lossless and nearlossless coding, and alpha channel coding, while also guaranteeing backward and forward compatibility with the JPEG legacy format. This paper gives an overview of the current status of the JPEG XT standards suite. It discusses the JPEG legacy specification, and details how higher dynamic range support is facilitated both for integer and floating-point color representations. The paper shows how JPEG XT's support for lossless and near-lossless coding of low and high dynamic range images is achieved in combination with backward compatibility to JPEG legacy. In addition, the extensible boxed-based JPEG XT file format on which all following and future extensions of JPEG will be based is introduced. This paper also details how the lossy and lossless representations of alpha channels are supported to allow coding transparency information and arbitrarily shaped images. Finally, we conclude by giving prospects on upcoming JPEG standardization initiative JPEG Privacy Sz Security, and a number of other possible extensions in JPEG XT.

7 citations

Journal ArticleDOI
TL;DR: The design goal is to guarantee no compressed or decompressed data contain computer-induced errors without detection, and simulation results verify detection performances even across boundaries while also examining roundoff noise effects in detecting computer- induced errors in processing steps.
Abstract: The JPEG image compression standard is very sensitive to errors. Even though it contains error resilience features, it cannot easily cope with induced errors from computer soft faults prevalent in remote-sensing applications. Hence, new fault tolerance detection methods are developed to sense the soft errors in major parts of the system while also protecting data across the boundaries where data flow from one subsystem to the other. The design goal is to guarantee no compressed or decompressed data contain computer-induced errors without detection. Detection methods are expressed at the algorithm level so that a wide range of hardware and software implementation techniques can be covered by the fault tolerance procedures while still maintaining the JPEG output format. The major subsystems to be addressed are the discrete cosine transform, quantizer, entropy coding, and packet assembly. Each error detection method is determined by the data representations within the subsystem or across the boundaries. They vary from real number parities in the DCT to bit-level residue codes in the quantizer, cyclic redundancy check parities for entropy coding, and packet assembly. The simulation results verify detection performances even across boundaries while also examining roundoff noise effects in detecting computer-induced errors in processing steps.

7 citations

Proceedings ArticleDOI
23 Jul 2013
TL;DR: This paper uses the asynchronous parallel execution between the CPU and the GPU to improve the JPEG decoder acceleration rate and the implementation of the CUDA-based IDCT can be more than 49 times faster than the implementation on the CPU.
Abstract: In this paper, an accelerated JPEG(Joint Photographic Experts Group) decoder was efficiently implemented on the GPU(Graphic Processing Unit) using the CUDA(Computer Unified Device Architecture) technology and it is capable for high definition images decoding. The CUDA technology can assist the GPU to work for the CPU for large computation. In this paper, the IDCT(Inverse Discrete Cosine Transform) model which has consumed about 75% the total time in the JPEG decoder is worked in the GPU by the CUDA, and other models of the JPEG decoder are designed in the CPU. At the same time, we use the asynchronous parallel execution between the CPU and the GPU to improve the JPEG decoder acceleration rate. In the experiment, the JPEG decoder based on the CUDA performs decompression of 3240 × 2160 pixels images, the implementation of the CUDA-based IDCT can be more than 49 times faster than the implementation on the CPU and the total processing time of the whole JPEG decoder can save about 50% time than the CPU.

7 citations

Journal ArticleDOI
TL;DR: The survey paper gives a study of the recent algorithms that are available for coding low Depth-of-Field (DOF) images and also covers its extension for depth map image sequence coding.
Abstract: The popularity of multimedia applications has resulted in development of lossless and lossy compression techniques. Many image compression methods clustered under these two compression techniques are discussed briefly in this article. In addition to this context, the survey paper gives a study of the recent algorithms that are available for coding low Depth-of-Field (DOF) images and also covers its extension for depth map image sequence coding. Motivation behind this work is to provide a detailed analysis of these algorithms such as the methodology used, merits and demerits, and the objective and subjective comparison of these algorithms with the standard compression algorithms like JPEG, JPEG 2000, H.261/AVC etc. Further, the paper concludes with a guideline for the new researchers in this field which concerns the design of an efficient compression method for low DOF images and depth map image sequences.

7 citations


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