Study on Wavelet Transform Adjustment Method with Enhancement of Color Image

Low contrast and poor quality images are the major problems in the image processing field. In order to make the color of image more distinct and sensory, this article uses the special structure of image data after wavelet transformation to organically combine wavelet analysis and traditional enhancement methods and put forward the new method of color image enhancement based on wavelet transformation. Through wavelet decomposition of the luminance component, it deals with the high frequency coefficients with the nonlinear unsharp masking method of different enhancement coefficients, and deals with the low frequency coefficients with the method of nonlinear function reflecting wavelet coefficients or the method of image saturation component model. Experiments show that the improved wavelet transformation algorithm is effective for color image enhancement, and it has good visual effect.

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