Method for conducting image denoising and enhancing in wavelet domain through evolutionary programming

The invention provides a method for conducting image denoising and enhancing in a wavelet domain through evolutionary programming. An algorithm aims at conducting denoising and enhancing on an unmanned aerial vehicle image in the wavelet domain through evolutionary programming. The method includes the steps of converting the image into the wavelet domain through double-tree discrete wavelets, estimating a denoising threshold value through evolutionary programming, conducting soft threshold value denoisting on a high-resolution coefficient in a high-frequency sub-band, estimating enhancing parameters in the wavelet domain through evolutionary programming, enhancing low-resolution coefficients in the high-frequency sub-band, and conducting wavelet inverse transformation to obtain a reconstructed image. According to the method, the image which is quite excellent in vision quality and processed through denoising can be obtained through the designed algorithm of conducting image denoising and enhancing in the wave