Colour image enhancement based on wavelet approximation coefficient histogram

K. Baranitharan, S. R. Madane
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Abstract

In this paper, a new method for color image enhancement based on wavelet transform is presented. The three different colour channels such as R, G, and B of the input color image are separated initially. The proposed technique decomposes the different colour channels into the four frequency sub-bands by using Discrete Wavelet Transform (DWT). Histogram Equalization is applied to the low frequency sub-band only. Finally, the inverse wavelet transform is applied to reconstruct the enhanced image. Mean is the parameter which is used to measure the performance of the proposed method.
基于小波近似系数直方图的彩色图像增强
提出了一种基于小波变换的彩色图像增强方法。首先将输入彩色图像的R、G、B三个不同的颜色通道分离。该技术利用离散小波变换(DWT)将不同的颜色通道分解为四个频率子带。直方图均衡化仅应用于低频子带。最后,利用小波反变换对增强后的图像进行重构。均值是用来衡量所提方法性能的参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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