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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
14 Aug 1989
TL;DR: A simple, easy to implement real-time lossless image coding algorithm which takes into account the pixel-to-pixel correlation in an image and seems to react robustly to mismatch between the assumed and actual statistics.
Abstract: A simple, easy to implement real-time lossless image coding algorithm which takes into account the pixel-to-pixel correlation in an image is presented. The algorithm has built-in limits to the variance in the size of the codewords, and seems to react robustly to mismatch between the assumed and actual statistics. Because of the limited dynamic range in codeword size it is not expected to have significant buffer overflow and underflow problems. Test results using this algorithm are presented. >

8 citations

Proceedings ArticleDOI
03 Nov 1996
TL;DR: A method for a parallel pipelined implementation of baseline JPEG compression and decompression is introduced for use on 4 Texas Instruments' TMS320C40 digital signal processors, providing significant speedup over a sequential implementation.
Abstract: In this paper, a method for a parallel pipelined implementation of baseline JPEG compression and decompression is introduced for use on 4 Texas Instruments' TMS320C40 digital signal processors. A PC host with 2 Sonitech dual 'C40 boards is used for this implementation. The DCT is implemented using 2 'C40s, while quantization and Huffman encoding are each performed using a single 'C40. This novel implementation provides significant speedup over a sequential implementation by pipelining 8/spl times/8 blocks, through the parallel implementation.

8 citations

Journal ArticleDOI
TL;DR: A high-payload, reversible data hiding scheme that is focused on embedding secret data into joint photographic experts group (JPEG) bitstream by using histogram modification that preserved the quality of the image with no distortion and achieved the goal of high embedding capacity.
Abstract: In this paper, we have presented a high-payload, reversible data hiding scheme that is focused on embedding secret data into joint photographic experts group (JPEG) bitstream by using histogram modification. In JPEG, for AC coefficients, 162 different variable length codes (VLCs) are defined and assigned by Huffman coding for all 162 run/size possibilities. After parsing VLC usage in the bitstream, we generated a histogram of run/size. According to a peak point and the nearest zero point of the histogram, the secret data were embedded by modifying the corresponding VLC values slightly. The experimental results and comparing the performance of our scheme with those of other existing schemes demonstrated that the proposed scheme preserved the quality of the image with no distortion and achieved the goal of high embedding capacity.

8 citations

Proceedings ArticleDOI
18 Mar 2005
TL;DR: These solutions are based on the intensive analysis of the JPEG image compression procedure to select the most important data which contains most information of an image for encryption to provide a set of balances between security and computation for different hardware environments.
Abstract: In this paper, we propose a set of solutions to four different levels on data selection for encrypting Motion JPEG video frames over SRTP. These solutions are based on our intensive analysis of the JPEG image compression procedure. We select the most important data which contains most information of an image for encryption; in consequence provide a set of balances between security and computation for different hardware environments. Extensive experiments are conducted and performance data has been analyzed to evaluate the proposed solutions. Results show that these solutions are well suited in different scenarios with various computation power and security requirements.

8 citations


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