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. © 2011 Springer-Verlag.
CITATION STYLE
Guang, Q. (2011). The research on a new image enhancement algorithm based on Retinex theory. In Communications in Computer and Information Science (Vol. 176 CCIS, pp. 336–342). https://doi.org/10.1007/978-3-642-21802-6_54
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