Results 231 to 240 of about 153,403 (304)

Fast lossless image compression

Proceeding of Southwest Symposium on Image Analysis and Interpretation, 2002
In this paper, we present a simple algorithm for fast lossless compression of grayscale images. It consists of differential pulse code modulation (DPCM) followed by Huffman coding of the most-likely residual magnitudes. Our tests show that it attains higher compression with less computation than the lossless JPEG method.
J.C. Wehnes, null Hung-Ta Pai, A.C. Bovik   +2 more
openaire   +1 more source

Bilateral Context Modeling for Residual Coding in Lossless 3D Medical Image Compression

IEEE Transactions on Image Processing
Residual coding has gained prevalence in lossless compression, where a lossy layer is initially employed and the reconstruction errors (i.e., residues) are then losslessly compressed.
Xiangrui Liu, Meng Wang, Shiqi Wang, S. Kwong   +3 more
semanticscholar   +1 more source

Hypergraph lossless image compression

International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II, 2005
Hypergraphs are a very powerful tool and can represent many problems. In this paper we define a new image representation based on hypergraphs. This representation conducts to a new lossless compression algorithm for images called HLC. We present the algorithm and give some experimental results proving its efficiency. Finally we show that this algorithm
A. Bretto, L. Gillibert
openaire   +1 more source

Absolutely Lossless Compression Of Medical Images

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005
Data in medical images is very large and therefore for storage and/or transmission of these images, compression is essential. A method is proposed which provides high compression ratios for radiographic images with no loss of diagnostic quality. In the approach an image is first compressed at a high compression ratio but with loss, and the error image ...
Robina, Ashraf, Muhammad, Akbar
openaire   +2 more sources

High-Throughput Lossy-to-Lossless 3D Image Compression

IEEE Transactions on Medical Imaging, 2020
The rapid increase in medical and biomedical image acquisition rates has opened up new avenues for image analysis, but has also introduced formidable challenges.
D. Rossinelli, G. Fourestey, F. Schmidt, B. Busse, V. Kurtcuoglu   +4 more
semanticscholar   +1 more source

Hypergraphs for Generic Lossless Image Compression

Fundamenta Informaticae, 2009
Hypergraphs are a large generalisation of graphs; they are now used for many low-level image processing, by example for noise reduction, edge detection and segmentation [3, 4, 7]. In this paper we define a generic 2D and 3D-image representation based on a hypergraph.
Gillibert, Luc, Bretto, Alain
openaire   +3 more sources

Lossless compression of color mosaic images

IEEE Transactions on Image Processing, 2005
Lossless compression of color mosaic images poses a unique and interesting problem of spectral decorrelation of spatially interleaved R, G, B samples. We investigate reversible lossless spectral-spatial transforms that can remove statistical redundancies in both spectral and spatial domains and discover that a particular wavelet decomposition scheme ...
Ning, Zhang, Xiaolin, Wu
openaire   +2 more sources

Lossless image compression with multiscale segmentation

IEEE Transactions on Image Processing, 2002
This paper is concerned with developing a lossless image compression method which employs an optimal amount of segmentation information to exploit spatial redundancies inherent in image data. Multiscale segmentation is obtained using a previously proposed transform which provides a tree-structured segmentation of the image into regions characterized by
Krishna, Ratakonda, Narendra, Ahuja
openaire   +2 more sources

LOSSLESS COMPRESSION FOR TEXT AND IMAGES

International Journal of High Speed Electronics and Systems, 1997
Most data that is inherently discrete needs to be compressed in such a way that it can be recovered exactly, without any loss. Examples include text of all kinds, experimental results, and statistical databases. Other forms of data may need to be stored exactly, such as images—particularly bilevel ones, or ones arising in medical and remote-sensing ...
Alistair Moffat, Timothy C. Bell, Ian H. Witten   +2 more
openaire   +1 more source

Lossless JPEG Image Compression

2018
The main reasons for compression in multimedia systems are: (1) large storage requirements of multimedia data, (2) relatively slow storage devices which do not allow playing back uncompressed multimedia data in real time, and (3) the network bandwidth which does not allow real-time video data transmission.
Borko Furht, Esad Akar, Whitney Angelica Andrews   +2 more
openaire   +1 more source