Title :
Automatic enhancement of noisy images using evaluation of image quality
Author_Institution :
DEEI, Trieste Univ., Italy
Abstract :
A new method for automatic enhancement of noisy images is presented. In the proposed approach the smoothing and sharpening effects provided by nonlinear functions are controlled by resorting to a measure of image quality that takes into account the histograms of the edge gradients. Thus, a well balanced compromise between smoothing and sharpening can automatically be found and applied to the image data. Experimental results show that the performance of the automatic enhancement system is very satisfactory.
Keywords :
Gaussian noise; image denoising; image enhancement; nonlinear filters; Gaussian noise; automatic enhancement system; automatic image enhancement; edge gradients; histograms; image data; image processing; image quality; noisy images; nonlinear filters; nonlinear functions; sharpening effects; smoothing effects; Automatic control; Gaussian noise; Image enhancement; Image quality; Inspection; Instruments; Noise level; Object recognition; Pixel; Smoothing methods;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE
Print_ISBN :
0-7803-8248-X
DOI :
10.1109/IMTC.2004.1351126