Novel Image Enhancement Algorithm Based on Wavelet Multiscale

Author

Qi Yan ; Ren Li

Author_Institution

Sch. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China

fYear

2010

fDate

1-3 Nov. 2010

Firstpage

39

Lastpage

42

Abstract

Traditional algorithm of image enhancement enhances the contrast grade and noise of image at the same time. So, noise reduction is needed. Wavelet enhancement considers the spatial domain and frequency domain of image signal, but not the nonlinearity of vision. Aim at the problem of enhanced noise in image enhancement, a new algorithm for image enhancement based on wavelet multiscale is proposed by analyzing the effects of wavelet on signal and noise regularity. Making use of the correlation of the wavelet coefficient from different scales and the frequency localization of wavelet, the noise and image information is divided effectively. It can alleviate the noise amplification while enhancing the image feature.

Keywords

image denoising; image enhancement; wavelet transforms; contrast grade; enhanced noise; frequency domain; frequency localization; image enhancement algorithm; image feature; image noise; image signal; noise amplification; noise reduction; noise regularity; spatial domain; vision nonlinearity; wavelet coefficient; wavelet enhancement; wavelet multiscale; image enhancement; multiscale; transform; wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Networks and Intelligent Systems (ICINIS), 2010 3rd International Conference on

Conference_Location

Shenyang

Print_ISBN

978-1-4244-8548-2

Electronic_ISBN

978-0-7695-4249-2

Type

conf

DOI

10.1109/ICINIS.2010.129

Filename

5693674