Pawanpreet Kaur, Aarti
In this paper we propose a hybrid noise removal approach using Stationary Wavelet Transformation (SWT), Adaptive Mean Filtering (AMF) and Contrast Approaches. The Wavelet Transform carry out a filter function on images. This paper represents a new computational scheme based on decomposition of the image into sub-bands using SWT technique to remove the noise from the image. We have considered different digital images in different format that are JPEG (), PNG (), BMP (), TIF (). In original image we have added 10 db noise. After adding the noise we have implement proposed technique & Discrete wavelet Transformation (DWT) technique on these different format of the image. We observe that the proposed technique gives better results than DWT. The contrast of the image is adjusted by using General Histogram Equalization (GHE), Singular Value Equalization (SVE).
Image Enhancement, SWT, DWT, Gaussian Noise, Edge Detection, GHE, SVE