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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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Book ChapterDOI
01 Jan 2003
TL;DR: In this chapter two algorithms for controlling the produced compression ratio are reported and the most performant of the two bit-rate control techniques has been successfully implemented in a consumer electronics industrial prototype.
Abstract: JPEG is an international industry standard algorithm for compressing continuoustone still images. JPEG which stands for Joint Photographic Expert Group is currently one of the most popular encoding formats used for storing and transmitting images. JPEG is a variable coding bit-rate method and in this chapter two algorithms for controlling the produced compression ratio are reported. The bit-rate control techniques feature an excellent accuracy, a low computational complexity, and a full compliance with the JPEG standard bitstream. Furthermore, the application of these algorithms does not affect the quality of the decompressed images, i.e., to reach the target compression ratio there are no additional losses other than those inherent to JPEG. The most performant of the two bit-rate control techniques has been successfully implemented in a consumer electronics industrial prototype.

3 citations

Journal ArticleDOI
TL;DR: The proposed algorithm for the lossless compression of two-dimensional signals is based on modeling the original signal by a rational function which consists of poles and zeros, or equivalently an auto-regressive moving average process.

3 citations

Proceedings ArticleDOI
22 Feb 2009
TL;DR: The construction and implementation methods of wearable and wireless EKG device for on-line post surgery heart monitoring system is described, which uses lightweight and inexpensive hardware to facilitate the development of distributed and real-time biomedical monitoring equipment.
Abstract: This paper describes the construction and implementation methods of wearable and wireless EKG device for on-line post surgery heart monitoring system. The device is a proven, accessible circuit design that uses lightweight and inexpensive hardware to facilitate the development of distributed and real-time biomedical monitoring equipment. Moreover, EKG data from the designed device is compressed by the proposed image-like model with Lossless JPEG. The results of our low cost design device show that the presented algorithm has compression ratio about 2.15:1.

3 citations

Proceedings ArticleDOI
01 Dec 2015
TL;DR: A lossless image compression based on hierarchical extrapolation for medical images using Haar transform and through Embedded Encoding technique proves to be lossless and as well perform better for a variety of images including CT scan, MRI and ultrasound biomedical images than the existing schemes.
Abstract: The imaging systems like CT, MRI scan exhibits huge amount of digital data and therefore compression becomes crucial for storage and communication resolves. Most of the recent compression schemes offers a very high compression ratio with significant loss of image quality and do not always perform better for all sets of similar images. This work aims at resolving this issue, which serves as the motivation. This paper presents a lossless image compression based on hierarchical extrapolation for medical images using Haar transform and through Embedded Encoding technique. The compression technique proves to be lossless and as well perform better for a variety of images including CT scan, MRI and ultrasound biomedical images than the existing schemes. The performance metrics namely Peak Signal to Noise Ratio, Compression ratio and mean square error values are computed for the compressed image for evaluation. The performance metrics attained through the proposed algorithm is bench marked with JPEG 2000. The result section of this paper brings forth the relative improvement offered by the proposed logic.

3 citations

Journal Article
TL;DR: The experimental results for 4 kinds of popular JPEG steganographic schemes have demonstrated that the proposed scheme outperforms the existing steganalysis techniques in both detection rate and speed.
Abstract: A new steganalysis scheme based on co-occurrence matrix in DCT domain for JPEG images was proposed. A total of 120 dimensional feature vectors were derived from the co-occurrence matrix, which was calculated directly in DCT domain and was sensitive to the data embedding process. Then, SVM was used to classify the 120 dimensional feature vectors. The experimental results for 4 kinds of popular JPEG steganographic schemes (F5, Outguess, Model based steganography with and without deblocking) have demonstrated that the proposed scheme outperforms the existing steganalysis techniques in both detection rate and speed.

3 citations


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