The Research on a New Image Enhancement Algorithm Based on Retinex Theory

On the basis of Retinex theory, We know that SSR (SSR, Single Scale Retinex) algorithms mainly consists of two steps: estimation and normalization of illumination. The illumination is estimated as a smooth version of input image using gaussian low-pass filters. In this paper, We propose a method to...

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Bibliographic Details
Published inAdvanced Research on Computer Education, Simulation and Modeling pp. 336 - 342
Main Author Guang, Qin
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2011
SeriesCommunications in Computer and Information Science
Subjects
Butterworth low-pass filter
Gaussian low-pass filter
Retinex theory
SSR algorithm
Online AccessGet full text
ISBN9783642218019
3642218016
ISSN1865-0929
1865-0937
DOI10.1007/978-3-642-21802-6_54

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Summary:On the basis of Retinex theory, We know that SSR (SSR, Single Scale Retinex) algorithms mainly consists of two steps: estimation and normalization of illumination. The illumination is estimated as a smooth version of input image using gaussian low-pass filters. In this paper, We propose a method to improve SSR algorithm. We used Butterworth low-pass filter instead of gaussian low-pass filter to smooth the image, Compared with traditional Retinex algorithm, The experimental results shows that, The result images using modified SSR algorithm have greater entropy and average gradient.
ISBN:9783642218019
3642218016
ISSN:1865-0929
1865-0937
DOI:10.1007/978-3-642-21802-6_54