Image Enhancement using combination between SVD and Wavelet Transform

那年仲夏 提交于 2019-12-04 20:55:55
  1. You need to define, what do you mean by "USEFUL" or "important" information. And only then do some steps.

  2. Histogram equalization is global transformation, which gives different results on different images. You can make an experiment - do histeq on image, that benefits from it. Then make two copies of the original image and draw in one black square (30% of image area) and white square on second. Then apply histeq and compare results.

Low frequency component contains the useful information, also, unimportant information gets lost in this component.

Really? Edges and shapes - which are (at least for me) quite important are in high frequencies. Again we need definition of "useful" information.

I cannot see theoretical background why and how your approach would work. Could you a little bit explain, why do you choose this method?

P.S. I`m not sure if this papers are relevant to you, but recommend "Which Edges Matter?" by Bansal et al. and "Multi-Scale Image Contrast Enhancement" by V. Vonikakis and I. Andreadis.