Title :
Observer-dependent sharpening
Author :
Tizhoosh, Hamid R.
Author_Institution :
Pattern Recognition & Machine Intelligence Lab., Waterloo Univ., Ont., Canada
Abstract :
Image quality evaluation by human observers is heavily subjective in nature. Individual observers judge the image quality differently. In previous works, an observer-dependent system for subjective image enhancement, which is based on fusion of different algorithms, was introduced. In this paper, the system configuration for sharpness/smoothness is discussed and experimental results are provided.
Keywords :
image enhancement; human observers; image quality evaluation; observer-dependent system; sharpness/smoothness; subjective image enhancement; system configuration; Convolution; Design engineering; Humans; Image enhancement; Image processing; Image quality; Machine intelligence; Man machine systems; Pattern recognition; Systems engineering and theory;
Conference_Titel :
Image Processing. 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7622-6
DOI :
10.1109/ICIP.2002.1038150
