An effective image enhancement filtering for noisy image sequences

This paper proposes a method of filtering a digital sensor image to efficiently reduce noise and to improve the sharpness of an image. To reduce the noise in an image captured by conventional image sensor, the proposed noise reduction filter selectively outputs one of results obtained by recursive temporal and spatial noise filtering values. By proposed noise filtering method, image detail can be well preserved and noise filtering artifacts which can be generated along the moving object boundary in image sequences by applying temporal noise filtering are prevented. Since the sharpness of noise filtered image can be inevitably deteriorated by noise filtering, the adaptive noise suppressed sharpening filter is also proposed. The proposed sharpening filter generates filter mask adaptively according to the pixel similarity information within filter mask and can obtain the continuous image quality by the easy-controllable gain control algorithm without noise boost-up in the smooth region.

[1]  Peter Rieder,et al.  New concepts on denoising and sharpening of video signals , 2001, IEEE Trans. Consumer Electron..

[2]  Jong-Sen Lee,et al.  Digital image smoothing and the sigma filter , 1983, Comput. Vis. Graph. Image Process..

[3]  Sanjit K. Mitra,et al.  A new class of nonlinear filters for image enhancement , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

[4]  Mohamed Najim,et al.  Robust nonlinear contrast enhancement filters , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[5]  Olukayode A. Ojo,et al.  An algorithm for integrated noise reduction and sharpness enhancement , 2000, 2000 Digest of Technical Papers. International Conference on Consumer Electronics. Nineteenth in the Series (Cat. No.00CH37102).

[6]  Aggelos K. Katsaggelos,et al.  Noise reduction filters for dynamic image sequences: a review , 1995, Proc. IEEE.