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 Improved JPEG Compression Algorithm Based on Sloped-Facet Model of Image Segmentation

Abstract: This paper proposed an improved JPEG compression algorithm based on Haralick sloped-facet model. Different areas after segmentation were taken into account in this algorithm and different areas are compressed in different proportion. The experiment results show that the quality of reconstructed images is better than the traditional JPEG compression algorithm at the same bit rate about 0.3 dB.

Lossless vector-quantised index coding design and implementation

Abstract: The authors present a simple and fast online lossless compression design to encode the vector quantised indexes for 2-D still images. The computation complexity of the method is quite low and its memory requirement is small. Experimental simulations show that the proposed scheme achieves better compression efficiency than existing lossless index coding schemes. An efficient VLSI architecture for this scheme is developed and yields a processing rate of about 83.3 mega-indexes per second. The hardware architecture is implemented using an Altera FPGA chip. A demonstration system is also built by integrating the chip with an 8051 microprocessor to verify the performance of the VLSI architecture.

Binary Hybrid GA-PSO based algorithm for compression of hyperspectral data

Abstract: This paper introduces two new compression methods. One of these methods is adaptive and powerful for the compression of hyperspectral data, which is based on separating the bands with different specifications by the histogram analyzes and new version of Binary Hybrid GA-PSO (BHGAPSO) and compressing each one with a different manner. The new proposed methods improve the compression ratio of the JPEG standards and save storage space the transmission system. The proposed methods are applied on different test cases, and the results are evaluated and compared with some other compression methods, such as lossless JPEG and JPEG2000.

A Novel Implementation of JPEG 2000 Lossless Coding Based on LZMA

Abstract: Faced with drawbacks of JPEG 2000 lossless coding in network application as far as manipulation flexibility is concerned, this paper proposes a differential approach of implementation. By combining JPEG 2000 lossy coding with LZMA compression, we come to a novel pattern which is more flexible and convenient while maintaining high compression ratio comparable to JPEG 2000 lossless coding. We evaluate the performance of our implementation in line with experimental results regarding compression ratio and analyze the prospective fields this differential implementation may well apply. An outlook of future work is also included.

A Medical Image Compression Scheme Based on Low Order Linear Predictor and Most-likely Magnitude Huffman Code

Abstract: In this paper, a fast lossless compression scheme is presented for the medical image. This scheme consists of two stages. In the first stage, a set of least-square-based linear prediction coefficients of each block are used to form the prediction of the current pixel. Predicted value of each pixel is subtracted from the actual value of the current pixel to form the residual image. In the second stage, an effective scheme based on the Huffman coding method is developed to encode the residual image. This newly proposed scheme could reduce the cost for the Huffman coding table while achieving high compression ratio. With this algorithm, a compression ratio higher than that of the lossless JPEG, JPEG-LS and JPEG2000 method for image can be obtained. At the same time, this method is quickest of the three compression schemes. In other words, the newly proposed algorithm provides good means for lossless medical image compression.