Paper
1 November 1991 Rapid enhancement and compression of image data
Nikhil Balram, Jose M. F. Moura
Author Affiliations +
Abstract
Recently, we have presented a recursive framework for noncausal Gauss Markov Random Fields (GMRF) defined on finite lattices. This framework readdresses the issue of recursiveness in 2-D signal processing, providing the means to attain the computational advantages of recursive processing without sacrificing the noncausality of the image model. We present here results on the application of this framework to two areas, image enhancement and image compression.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nikhil Balram and Jose M. F. Moura "Rapid enhancement and compression of image data", Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); https://doi.org/10.1117/12.50325
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image processing

Image enhancement

Image compression

Visual process modeling

Visual communications

Image quality

Digital filtering

Back to Top