An Analysis of Various Noise Removal Techniques to Enhance Image Quality

Objective: To analyze the state of the art techniques for noise removal and find an efficient technique that overcomes the major problems. The impulse noise in particular destroys the quality of the image.

Method: The research includes analysis of a number of noise removal or denoising techniques for the image quality enhancement. The different effective techniques are considered to find the suitable most efficient technique. In this paper, various efficient techniques for the noise removal in image are analyzed and evaluated.

Results: The techniques analyzed have better performance than their predecessors but still cannot provide complete satisfaction. If the features of every method presented are combined together it enables better results which are impossible, as this hybrid technique can completely destroy the image. The performance evaluation conducted shows that the neuro-fuzzy network based noise removal method removes the noise, especially the impulse noise and retrieves the original image with high quality by preserving the sharpness of edge and detail information.

Conclusion: The neuro fuzzy network based method has better and more efficient performance than the other techniques.