Title :
Adaptive reconstruction of subsampled colour images
Author_Institution :
Sch. of Comput. & Math., Derby Univ., UK
Abstract :
Subsampling chrominance signals is a common practice used in colour imaging systems to reduce the storage and transmission requirements. The lossy nature of the process, however, inevitably introduces colour artifacts. In this paper, an adaptive learning system is developed for the reconstruction of full resolution colour images from subsampled signals. Simulation results are presented which show that the images produced by the new technique have fewer visible colour artifacts than those constructed by traditional techniques
Keywords :
image colour analysis; image reconstruction; image resolution; image sampling; learning (artificial intelligence); adaptive image reconstruction; adaptive learning system; colour artifacts; colour imaging systems; full resolution colour images; storage requirements; subsampled colour images; subsampling chrominance signals; transmission requirements; Adaptive systems; Color; Image coding; Image reconstruction; Image resolution; Image storage; Learning systems; Multilayer perceptrons; Signal resolution; Transform coding;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770801