Results 181 to 190 of about 23,115 (236)
Some of the next articles are maybe not open access.
Perceptually lossless image compression
Proceedings DCC '97. Data Compression Conference, 1997Summary form only given. This paper presents an algorithm for perceptually lossless image compression. The approach utilizes properties of the human visual system in the form of a perceptual threshold function (PTF) model. The PTF model determines the amount of distortion that can be introduced at each location of the image.
P.J. Hahn, V.J. Mathews
openaire +1 more source
Asymmetric lossless image compression
Proceedings DCC '95 Data Compression Conference, 2002Summary form only given. Lossless image compression is often required in situations where compression is done once and decompression is to be performed a multiple number of times. Since compression is to be performed only once, time taken for compression is not a critical factor while selecting an appropriate compression scheme.
N.D. Memon, K. Sayood
openaire +1 more source
Fast lossless image compression
Proceeding of Southwest Symposium on Image Analysis and Interpretation, 2002In 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 +2 more
openaire +1 more source
Hypergraph lossless image compression
International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II, 2005Hypergraphs 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, 2005Data 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
Hypergraphs for Generic Lossless Image Compression
Fundamenta Informaticae, 2009Hypergraphs 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, 2005Lossless 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, 2002This 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, 1997Most 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 +2 more
openaire +1 more source
Lossless JPEG Image Compression
2018The 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 +2 more
openaire +1 more source

