Comparative Analysis of Image Denoising Techniques

Visual information transmitted in the form of digital images is becoming a major method of communication in the modern age. But the main drawback in digital images is inheritance of noise while their acquisition or transmission. Removing noise from digital images is a big challenge for researchers. Several noise removal algorithms have been proposed till date. Choice of denoising algorithm is application dependent and depends upon the type of noise present in the image. Every algorithm has its own assumptions, advantages and limitations. This paper presents a comparative analysis of various noise suppression algorithms. Keywords— Image denoising, Gaussian noise, Speckle noise Linear filters, Wavelet transform.