The invention discloses an
image enhancement algorithm based on
wavelet transform and fusing high and
low frequency information. The
image enhancement algorithm is mainly used for solving the problemof uneven illumination in the fields of
medicine, photography and security and protection, comprehensively utilizes an
image enhancement method and sequentially comprises the following steps: S1, inputting a color picture into a computer, converting the color picture into a grey-
scale map, carrying out two-layer
wavelet decomposition of a two-dimensional
signal on the grey-scale picture, and converting the image into a
frequency domain from a
spatial domain; s2, extracting a low-frequency component of the image, and improving high-
frequency response in the low-frequency component by adopting
homomorphic filtering; s3, converting the filtered low-frequency image into a
spatial domain for gray scale conversion to enhance the contrast and brightness of the image; and S4, reconstructing an image according to the enhanced low-frequency component and high-frequency component coefficients, performing
wavelet transform-based threshold denoising on the reconstructed image, and finally obtainingan enhanced image. By means of the technical scheme, the low-frequency information, namely the overall brightness of the image, of the image is effectively enhanced, and meanwhile
noise interferencein the high-frequency information is restrained.