Histogram equalization and noise removal process for enhancement of image

For improving contrast the common methods is used in digital images is histogram equalization (HE).The output image look better when there is changing the pixels intensity while image enhancement process going on. Improve an image sometimes defined by modifying the intensities or colors or increasing the SNR value. Different filtering as well as enhancement method makes image analysis and processing to achieving a satisfactory level. Performance degrades only when there will be noise in the image. So in this paper we analyses progressive switching median filer (PSMF) and decision-based algorithm (DBA) techniques for image enhancement. For supressing efficient denoising scheme DBA and PSMF is utilized here. Test results for PSMF and DBA makes good efficiency in removing salt and pepper noise for different noise density level.