Title :
Application of Adaptive Unsharp Masking technique to color images with optimum parameters selection
Author :
Jane, O. ; Ilk, H.G.
Author_Institution :
Turkiye Bilimsel ve Teknol. Arastirma Kurumu (TUBITAK), Ankara, Turkey
Abstract :
Image processing has been the focal point of considerable research activity in the last decade mainly because of its wide application areas. With the help of existing image enhancement technique, Adaptive Unsharp Masking (AUM), proposed optimum parameters selection procedure has significant effects in terms of sharpness and contrast adjustment in color images. The experimental results prove that AUM technique, which is applied to color images in this study, converges to a minimum mean square error as in the case of gray scale images.
Keywords :
image colour analysis; image enhancement; mean square error methods; AUM technique; adaptive unsharp masking technique; color image; contrast adjustment; gray scale image; image enhancement; image processing; image sharpness; minimum mean square error; optimum parameter selection; Adaptive filters; Color; Image enhancement; Mean square error methods; Reactive power; Sea surface; Surface treatment; Gauss-Newton Algorithm; adaptive filtering; image enhancement; minimum mean square error;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2013 21st
Conference_Location :
Haspolat
Print_ISBN :
978-1-4673-5562-9
Electronic_ISBN :
978-1-4673-5561-2
DOI :
10.1109/SIU.2013.6531185