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.

Lossless/near lossless compression using bilateral filter and symmetrical structure based bias cancellation

Abstract: Recently, a few symmetrical predictor structure (SPS) based lossless / near lossless compression algorithms have been proposed, which can efficiently exploit the information from the neighboring pixels. Prediction stage of existing SPS algorithms uses least squares optimization, which is computationally expensive and only causal pixels are used for the bias cancellation stage. In this paper, we propose an efficient and computationally simple lossless / near-lossless compression algorithm using the bilateral filter. Moreover we propose to use both causal and non-causal pixels for bias cancellation. From extensive experiments, it is observed that the proposed algorithm has the capability of provide better prediction and compression performance.

Research on a Feature-Based JPEG General Detection Algorithm

Abstract: JPEG format has become the most commonly used compressed format in the present digital image transmission and storage for its excellent compression performance, better image quality and flexible compression selection. This paper studies a JPEG general detector, analyzes various kinds of eigenvectors which are extracted from the image to be detected and used for classifier learning and detection and further proposes a method of calculating statistical properties by regional division, which optimizes the method of extracting eigenvectors and is a research direction of improving the performances of general detectors in the future.

An Improved Lossless Compression in Digital Audio Coder

Abstract: Firstly this paper presents applications of lossless compression of audio signal and several techniques technology of a practical lossless compression coder including framing,prediction(intrachannel decorrelation)and entropy codingThen it proposes some methods in improving the data compression ratio performance of that coder AudioPak and presents the performance evaluation

Privacy protection in surveillance systems based on JPEG DCT baseline compression and spectral domain watermarking

Abstract: An novel system for automatic privacy protection in digital media based on spectral domain watermarking and JPEG compression is described in the present paper. In a first step private areas are detected. Therefore a detection method is presented. The implemented method uses Haar cascades to detects faces. Integral images are used to speed up calculations and the detection. Multiple detections of one face are combined. Succeeding steps comprise embedding the data into the image as part of JPEG compression using spectral domain methods and protecting the area of privacy. The embedding process is integrated into and adapted to JPEG compression. A Spread Spectrum Watermarking method is used to embed the size and position of the private areas into the cover image. Different methods for embedding regarding their robustness are compared. Moreover the performance of the method concerning tampered images is presented.