Title :
High quality enhancement of low resolution colour images
Author :
Qiu, G. ; Schaefer, G.
Author_Institution :
Derby Univ., UK
Abstract :
A new adaptive learning method is developed for the enhancement of subsampled colour images. The system use edge information in the luminance channel to aid the reconstruction of the chrominance signals such that edges between the luminance and the chrominance channels are well aligned. A technique exploiting the luminance information effectively is developed. The method is computationally efficient. Simulation results are presented to demonstrate the superior performance of the new technique
Keywords :
image enhancement; adaptive learning method; chrominance channel; chrominance signals reconstruction; edge information; high quality enhancement; low resolution colour images; luminance channel; simulation results; subsampled colour image enhancement;
Conference_Titel :
Image Processing And Its Applications, 1999. Seventh International Conference on (Conf. Publ. No. 465)
Conference_Location :
Manchester
Print_ISBN :
0-85296-717-9
DOI :
10.1049/cp:19990343