Publication Type : Journal Article
Publisher : Elsevier BV
Source : Pattern Recognition Letters
Url : https://doi.org/10.1016/s0167-8655(98)00141-x
Keywords : Nearly-lossless compression, Lossy compression, Autoregressive model, Entropy, DPCM
Campus : Faridabad
School : School of Business
Year : 1999
Abstract : A flexible accurate technique for improving image compression properties with linear image compressing transforms is presented. This is a reliable iterative algorithm for the nearly-lossless autoregressive (NLAR) compression of images, which permits control of errors produced in each pixel intensity while preserving the original image intensity range. The convergence of this new algorithm is demonstrated, both theoretically and numerically. Its relationship to other types of nearly-lossless compression, as well as to traditional lossless and lossy approaches, is discussed.
Cite this Research Publication : O.S. Pianykh, J.M. Tyler, R. Sharman, Nearly-lossless autoregressive image compression, Pattern Recognition Letters, Elsevier BV, 1999, https://doi.org/10.1016/s0167-8655(98)00141-x