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: Experimented result indicate that The Transform is integer-integer invertible transform based on lifting scheme and integer operation, suitable fast and in progressively until to image lossless compression.
Abstract: An image lossless compression coding performance is researched for Deslauriers-Dubuc(m,n)interpolating wavelet transform with SPIHT based on lifting scheme .experimented result indicate that The Transform is integer-integer invertible transform based on lifting scheme and integer operation , suitable fast and in progressively until to image lossless compression .performance of lossless compression is well good then popular Huffman?WinRar? Raw+WinZip?JPEGLS. For example in (4,4) by comparison whit these method average improved the compression rate by about 63%,49%,46%,34% respectively . due to invertible transform is based on integer operation may be by addition and shift completed, so that fast and easy to dynamic image coding and hardware implement.
1 citations
1 citations
01 Apr 2017
TL;DR: This paper proposes to increase the "secondary search" function during the DEFLATE algorithm matching process, which effectively increases the possibility of finding a longer matching string, thus further reducing the coding length.
Abstract: In recent years, multi-source sensor system has been widely used in military, agriculture, forestry and other fields, the diversity of information performance, the huge number of information, the complexity of information relations, and require information processing real-time, have been greatly Beyond the general computer integrated processing capacity. In this paper, studies have found that the DEFLATE algorithm is consistent with the "neighbor principle" of sensor data. This is a combination of LZ77 and Huffman algorithms, which in theory should deal with multi-source sensor data more effectively. This paper proposes to increase the "secondary search" function during the DEFLATE algorithm matching process. This improvement effectively increases the possibility of finding a longer matching string, thus further reducing the coding length.
1 citations
01 Jan 2013
TL;DR: An attempt has been made for the identification of the best quantization table, because for digital image processing (DIP), it is necessary to discover a new quantization tables to achieve better image quality than the obtained by the JPEG standard.
Abstract: Image compression techniques are used to reduce the storage and transmission costs. Joint Photographic Experts Group (JPEG) is one of the most popular compression standards in the field of still image compression. In JPEG technique, an input image is decomposed using the DCT, quantized using quantization matrix and further compressed by using entropy encoding. Therefore, the objective of this paper is to carry out the performance analysis of JPEG on the basis of quantization tables. In this paper, we have employed the nelson algorithm for the generation of quantization table; and an attempt has been made for the identification of the best quantization table, because for digital image processing (DIP), it is necessary to discover a new quantization tables to achieve better image quality than the obtained by the JPEG standard. Research has shown that quantization tables used during JPEG compression can also be used to separate images that have been processed by software from those that have not been processed; and it is also used to remove JPEG artefacts or for JPEG recompression.
1 citations
TL;DR: An evaluation of the performance of a lossless wavelet compression scheme on samples of computed tomography images of the brain in JPEG, PNG, BMP and TIFF formats is presented.
Abstract: The major challenges facing digital radiological systems notably: teleradiology and picture archiving and communication systems (PACS) are not unconnected to: limited storage space and bandwidth requirements for storage, transmission, retrieval and archiving of digital medical images. Lossless compression techniques have been adopted by the medical community to help solve these problems as it does not degrades the quality of the medical image which is crucial for diagnosis while reducing the size (often in ratio 2:1) of the original image. However, little attention has been paid to knowing the performance of a choice compression scheme on the medical image format type for efficient handling in the digital radiology system. Hence, this work presents an evaluation of the performance of a lossless wavelet compression scheme on samples of computed tomography (CT) images of the brain in JPEG, PNG, BMP and TIFF formats.
1 citations