Abstract: In biomedical image processing, low contrast image analysis is a challenging problem. Low contrast digital images reduce the ability of observer in analyzing the image. Image enhancement and information extraction are two important components of biomedical image processing. Image enhancement techniques help in improving the visibility of any portion or feature of the image. The most effective method used for contrast enhancement is Histogram Equalization (HE). Here propose a new method named “Biomedical Image brightness preservation and segmentation technique using CLAHE and Wiener filtering”. Here use CLAHE and Wiener filtering based techniques to enhance contrast of biomedical images. The contrast of an image is enhanced by applying CLAHE on small data regions called tiles rather than the entire image. Wiener filtering reduces the content of noise in histogram equalized image.
Keywords: Biomedical Image Enhancement, CLAHE, Wiener filtering, Contrast Enhancement.