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.

A content-based image retrieval scheme in jpeg compressed domain

Abstract: Nowadays, a large number of images are compressed in JPEG (Joint Photo- graphic Experts Group) format. Therefore, content-based image retrieval (CBIR) for the JPEG images has attracted many people's attention and a series of algorithms directly based on the discrete cosine transform (DCT) domain have been proposed. However, the existing methods are far from the practical application. Thus, in this paper, a new image retrieval scheme for JPEG formatted images is presented. The color, spatial and frequency (texture) features based on the DCT domain are extracted for the later image retrieval. It doesn't require decompressing the images but directly retrieving in the DCT domain. Thus, compared with the spatial domain based retrieval methods for JPEG im- ages, the computation complexity can be greatly reduced. In addition, this retrieval system is suitable for all color images with different sizes. Experimental results demonstrate the advantages of the proposed retrieval scheme.

JPEG 2000 and Region of Interest Coding

Abstract: This paper details work undertaken on the application of JPEG 2000, the recent ISO/ITU-T image compression standard based on wavelet technology, to region of interest (ROI) coding. The paper briefly outlines the JPEG 2000 encoding algorithm and explains how the packet structure of the JPEG 2000 bit-stream enables an encoded image to be decoded in a variety of ways dependent upon the application. The three methods by which ROI coding can be achieved in JPEG 2000 (tiling; coefficient scaling; and codeblock selection) are then outlined and their relative performance empirically investigated. The experimental results show that there are a number of parameters that control the effectiveness of ROI coding, the most important being the size and number of regions of interest, code-block size, and target bit rate. Finally, some initial results are presented on the application of ROI coding to face images.

JPEG 2000 compression of medical imagery

Abstract: A multi-institution effort was conducted to assess the visual quality performance of various JPEG 2000 (Joint Photographic Experts Group) lossy compression options for medical imagery. The purpose of this effort was to provide clinical data to DICOM (Digital Imaging and Communications in Medicine) WG IV to support recommendations to the JPEG 2000 committee regarding the definition of the base standard. A variety of projection radiographic, cross sectional, and visible light images were compressed-reconstructed using various JPEG 2000 options and with the current JPEG standard. The options that were assessed included integer and floating point transforms, scalar and vector quantization, and the use of visual weighting. Experts from various institutions used a sensitive rank order methodology to evaluate the images. The proposed JPEG 2000 scheme appears to offer similar or improved image quality performance relative to the current JPEG standard for compression of medical images, yet has additional features useful for medical applications, indicating that it should be included as an additional standard transfer syntax in DICOM.