TY - GEN
T1 - Blind deconvolution of blurred images with fuzzy size detection of point spread function
AU - Khan, Salman Hameed
AU - Sohail, Muhammad
AU - Rehan, Ahmed
AU - Khan, Zeashan Hameed
AU - Khan, Arsalan Hameed
PY - 2012
Y1 - 2012
N2 - The objective of present research is to find the correct dimensions of point spread function (PSF), which is a crucial step in blind deconvolution of linearly blurred images. Usually size of PSF is estimated by trial and error, based on user experience. Keeping in view the fuzzy nature of this problem, we have implemented a fuzzy inference system (FIS) in Matlab to efficiently predict the size of PSF. The fuzzy system is based on the common observation that the size of PSF is directly related to the amount of degradation caused to each pixel in the original image. The blurred image is compared with edge extracted image and the PSF size is estimated by accounting for the distortion of edges. The results are encouraging and the method presented in this paper can be used to avoid trial and error based lengthy process of PSF size estimation.
AB - The objective of present research is to find the correct dimensions of point spread function (PSF), which is a crucial step in blind deconvolution of linearly blurred images. Usually size of PSF is estimated by trial and error, based on user experience. Keeping in view the fuzzy nature of this problem, we have implemented a fuzzy inference system (FIS) in Matlab to efficiently predict the size of PSF. The fuzzy system is based on the common observation that the size of PSF is directly related to the amount of degradation caused to each pixel in the original image. The blurred image is compared with edge extracted image and the PSF size is estimated by accounting for the distortion of edges. The results are encouraging and the method presented in this paper can be used to avoid trial and error based lengthy process of PSF size estimation.
KW - blurred image
KW - deconvolution
KW - fuzzy logic
KW - point spread function
UR - https://www.scopus.com/pages/publications/84862143530
U2 - 10.1007/978-3-642-28962-0_26
DO - 10.1007/978-3-642-28962-0_26
M3 - Conference contribution
AN - SCOPUS:84862143530
SN - 9783642289613
T3 - Communications in Computer and Information Science
SP - 261
EP - 271
BT - Emerging Trends and Applications in Information Communication Technologies - Second International Multi Topic Conference, IMTIC 2012, Proceedings
ER -