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Author Marchand, J.F.P. ♦ Rhody, H.E.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1997
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Image reconstruction ♦ Pixel ♦ Image generation ♦ Image coding ♦ Quantization ♦ Image quality ♦ Image converters ♦ Iterative methods ♦ Convolution ♦ Communication channels
Abstract Summary form only given. Prediction of the value of the pixels in an image is often used in image compression. The residual image, the difference between the image and its predicted value, can usually be coded with fewer bits than the original image. In linear prediction the value of each pixel of an image is estimated from the value of surrounding pixels using a predictor P. In noncausal prediction pixels surrounding the pixel to be predicted are used. In causal prediction only "earlier" pixels are used. Usually noncausal prediction offers better prediction than causal prediction because all pixels surrounding the pixel to be predicted are considered. The reconstruction of the image from the residual after noncausal prediction is more difficult than when causal prediction is used. This paper explores two methods of reconstruction for noncausal prediction: iterative reconstruction and direct reconstruction. As an example, the effect of quantization of the residual on the reconstructed image is considered. It shows an improved image quality using the noncausal predictor.
Description Author affiliation: Center for Imaging Sci., Rochester Inst. of Technol., NY, USA (Marchand, J.F.P.)
ISBN 0818677619
ISSN 10680314
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1997-03-25
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 71.12 kB


Source: IEEE Xplore Digital Library