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.

An information hiding system using 16*16 quantization table

Abstract: Steganography is used to establish secure communication between two parties. Steganalysis, the detection of steganography by third party is relatively young discipline. The art and science of steganalysis, is intended to detect hidden information, estimation of hidden message length, and its extraction. Steganalysis has recently received a great deal of attention both from law enforcement and the media. Thus, many scholars have engaged in the field. Recently, the JPEG format attracted the attention of researchers as the main steganographic format. JPEG images are very abundant on the Internet bulletin boards and public Internet sites. F5 is a steganography algorithm based on frequency domain. It has been widely used because of its high capacity and robustness. It embeds secret data into quantized non-zero DCT coefficientsof JPEG image. F5 algorithm uses matrix encoding technique to minimize the number of changes done. The JHRF algorithm is used to unhide the data embedded by F5. In this paper, An JPEG, information hiding algorithm, uses non-overlapping blocks of 16 *16 pixels. By embedding secret information into JPEG image by rules, JHRF can handle larger steganography capacity. It can deal effectively with abnormal data and get better results.

A JPEG2000 re-encoding scheme with high quality performance for JPEG coded pictures

Abstract: This paper describes a fine quality re-encoding scheme that converts JPEG to JPEG2000. The problem is that the quality of a re-encoded picture deteriorates by 0.5-1.0 dB when a JPEG picture is re-encoded quite simply by JPEG2000 at the same coding rate, although JPEG2000 has essentially higher compression ability and achieves better quality by 1-2 dB than JPEG. At first, the causes are analyzed in detail. Next, this paper proposes a new re-encoding scheme for quality improvement. A new algorithm prevents re-encoded picture from degrading its quality by modifying the factitious wavelet coefficients affected because of block artifacts. Finally, the simulation results show that the proposed scheme improves the quality of a re-encoded picture by about 0.15 dB. As a result, proposed scheme is used for re-encoding in future.

Lossless Compression of Hyperspectral Image Based on 3D-SPIHT Using Band Classification

Abstract: The spectral correlation in hyperspectral image is highly correlated, but it differs in different bands. A lossless compression scheme based on band grouping and 3D-SPIHT algorithm is proposed in this paper. First, we divide the image bands in different groups according to the band’s type. Then three dimensional integer wavelet transform is applied to each group, which can exploit both the spatial and spectral correlation. Finally, three-dimensional SPIHT algorithm is used to encode the tree-like wavelet coefficients. Experiments show that this algorithm can achieve better lossless compression as well as low complexity.

A flexible chip set for intra frame video compression

Abstract: LSI Logic has developed a two-chip processor for the core operations of the proposed JPEG (Joint Photographic Experts Group) image coding standard which is able to encode and decode all legal bitstreams and images regardless of compression rate. The user may thus be ensured that a legal bitstream is being generated regardless of image contents or compression ratio. The L64735 and L64745 have been designed to bridge the gap between building-block solutions and single-chip solutions for JPEG image coders. The two-chip approach offers some performance advantages over more highly integrated chips, as well as an assurance that all images regardless of their compression rate or contents can be safely handled at video rates. >

Perceptual quality assessment of JPEG, JPEG 2000, and JPEG XR

Abstract: In this paper, we examine the rate-distortion performance in terms of perceptual quality of JPEG XR (ISO/IEC 29199-2 | ITU-T Rec. T.832)1 and earlier standardized image compression algorithms such as JPEG (ISO/IEC 10918-1 | ITU-T Rec. T.81)2 and JPEG 2000 (ISO/IEC 15444-1 | ITU-T Rec. T.800)3. Unfortunately, objective visual quality metrics (like MSE, PSNR, VQM, SSIM, etc.) do not always correlate well with the actual perceived image quality. In some specific cases, it is even possible that certain visible coding artifacts remain undetectable by these objective visual quality tests. As such, we conducted a series of subjective visual quality assessment tests to measure the visual performance of JPEG XR, JPEG 2000 and JPEG. This paper describes the design of the subjective visual quality assessment experiments, addressing the encountered difficulties and potential pitfalls. Our results indicate that for high bit-rates (i.e. more than 1 bpp) all three codecs more or less have an equal overall performance. However, as expected, at lower bit-rates JPEG performs significantly weaker for every tested image than JPEG 2000 and JPEG XR. On the other hand, both JPEG 2000 and JPEG XR appear to be very competitive at these low bit-rate ranges. Only for specific image content types (e.g. smooth gradient surfaces), JPEG XR appears to have some difficulties. Nevertheless, discarding the fact that JPEG 2000 offers more functionality features than JPEG XR, the latter performed very good for most images and almost in par with JPEG 2000. As a conclusion, the results of the subjective visual quality assessment tests show that JPEG XR successfully passed our verification experiments for low dynamic range imagery.