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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TL;DR: A novel adaptive vector quantization (VQ)-based linear prediction (AVQLP) method for lossless compression of high spectral resolution sounder data is proposed, which optimally adjusts the quantization codebook sizes to yield the maximum compression on prediction residuals and side information.
Abstract: Contemporary and future high spectral resolution sounders represent a significant technical advancement for environmental and meteorological prediction and monitoring. Given their large volume of spectral observations, the use of robust data compression techniques will be beneficial to data transmission and storage. In this paper, a novel adaptive vector quantization (VQ)-based linear prediction (AVQLP) method for lossless compression of high spectral resolution sounder data is proposed. The AVQLP method optimally adjusts the quantization codebook sizes to yield the maximum compression on prediction residuals and side information. The method outperforms the state-of-the-art compression methods [Joint Photographic Experts Group (JPEG)-LS, JPEG2000 Parts 1 and 2, Consultative Committee for Space Data Systems (CCSDS) Image Data Compression (IDC) 5/3, Context-Based Adaptive Lossless Image Coding (CALIC), and 3D Set Partitioning in Hierarchical Trees (SPIHT)] and achieves a new high in lossless compre...
3 citations
20 Mar 2013
TL;DR: This paper presents a new coding scheme and file format that is tailored to the presentation of single-color products, leading to substantial reduction in file size with practically no quality degradation.
Abstract: Summary form only given. Common e-commerce websites rely heavily on JPEG images for product presentation. In this paper we present a new coding scheme and file format that is tailored to the presentation of single-color products. A JPEG image file can be transcoded into this new format leading to substantial reduction in file size (Average of 28%) with practically no quality degradation. We describe how we can take advantage of several features found in images for product presentation to improve coding efficiency. Objective and subjective performance measurements are presented to demonstrate that little quality degradation is incurred after transcoding.
3 citations
06 Sep 1993
TL;DR: The approach is to segment the image into regions with different spatial characteristics, and encode them independently, and the authors are able to achieve compression ratios of about 4.8 to 6.2 while preserving the lossless contents of important regions.
Abstract: This paper describes the studies on methods of lossless compression for medical ultrasonic scanned image (echocardiography) sequences. The aim is to find one, or a combination of methods, that achieves the highest overall compression performance. The approach is to segment the image into regions with different spatial characteristics, and encode them independently. In so doing the authors are able to achieve compression ratios of about 4.8 to 6.2 while preserving the lossless contents of important regions.
3 citations
01 Jun 1991
TL;DR: This work takes the JPEG algorithm apart into its constituent pieces and shows that most of the JPEG compression performance is achieved from coefficient quantization that replaces coefficient values comprising many bits with values of few bits.
Abstract: Summary form only given. This work uses the example quantization table described in the JPEG drafts as the basis for comparing the amount of compression attributable to each of several distinct lossless compression techniques. It takes the JPEG algorithm apart into its constituent pieces. The result shows that most of the JPEG compression performance is achieved from coefficient quantization that replaces coefficient values comprising many bits with values of few bits. Additional compression is achieved by a combination of runlength coding, predictive coding, and either Huffman or arithmetic coding. >
3 citations
TL;DR: An encryption algorithm combining with spatial domain and frequent domain for color JPEG image is proposed, and the proposed algorithm is with key-sensitivity, huge key space and good security.
Abstract: To research the encryption algorithm for color JPEG image, selective encryption and joint compression and encryption are both taken into consideration, and an encryption algorithm combining with spatial domain and frequent domain for color JPEG image is proposed. blocks are diffused on spatial domain firstly, and then the edge-detection method is utilized to find out the significant blocks containing abundant details. After encrypting all the DC coefficients, a certain number of AC coefficients in significant blocks are chosen to be encrypted. Finally the information to mark the significance of blocks is embedded into AC coefficients for transmission. Theoretical analyses and experiment results show that the proposed algorithm is compatible with JPEG format. The cipher image is with good visual quality and uniform color distribution. The algorithm is with key-sensitivity, huge key space and good security.
3 citations