Title :
Image coupling, restoration and enhancement via PDE´s
Author :
Komprobst, P. ; Deriche, R. ; Aubert, G.
Author_Institution :
Inst. Nat. de Recherche en Inf. et Autom., Sophia Antipolis, France
Abstract :
We present a new approach based on partial differential equations (PDE) to restore noisy blurred images. After studying the methods to denoise images, staying as close as possible to the input image and methods to restore discontinuities, we propose a new scheme which combines all this schemes. A quantified numerical test on a synthetic image demonstrates the efficiency of our scheme and the role of varying the parameters for denoising, enhancement and coupling. A result on a real image is also presented
Keywords :
image enhancement; image restoration; noise; partial differential equations; PDE; discontinuities restoration; image coupling; image denoising; image enhancement; image restoration; input image; noisy blurred images; numerical test; partial differential equations; real image; synthetic image; Anisotropic magnetoresistance; Electric shock; Equations; Filtering theory; Filters; Gaussian noise; Image restoration; Kernel; Noise cancellation; Noise reduction; Partial differential equations; Smoothing methods; Testing;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.638807
