Color Image Enhancement Using Fuzzy Set Theory

Mudunuru Suneel, K. Kiran Kumar, P. Uday Bhaskar · CiiT international journal of digital image processing · 2012

The theory of fuzzy sets has been used to deal with image enhancement problems for degraded images in which the image edges and some fine details of image are uncertain and inaccurate. For those kinds of images, to some extent, the good enhancement effect can be obtained using the fuzzy sets-based image enhancement method instead of the traditional image enhancement approaches. This proposed fuzzy image enhancement method is also gives good results of degraded images with less gray levels and low contrasts. This proposed fuzzy color image enhancement method gives better results than the traditional image enhancement technique like histogram equalization. This method is an extension of the generalized fuzzy image enhancement method. By using the similarity methods we can compare the original images with the proposed fuzzy image enhancement and histogram equalization methods, and then the proposed method based on fuzzy set theory gives best results.

Read the paper · More papers on PaperTik