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Comparative Analysis of Noise Reduction Techniques For Image Enhancement



A great deal of effort has been devoted in recent years for developing algorithms to reduce the noise that is inherent in all digital images. This paper presents a critical analysis of image noise reduction algorithms in general. Noise removal is an important task in image processing. The results of the noise removal have a strong influence on the quality of image processing techniques. The nature of the noise removal problems depends on the type of noise corrupting the images. Several techniques for noise removal are well established in the domain of image processing. This Paper presents a comparative analysis on some of the efficient image de-noising algorithms and analyses different objective image quality measurement parameters.

 


Keywords

Image Noise, Linear filter, Non-Linear filter, Adaptive Filter, Median Filter, Image Quality Evaluation Metrics, Image Quality Index
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  • Comparative Analysis of Noise Reduction Techniques For Image Enhancement

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Abstract


A great deal of effort has been devoted in recent years for developing algorithms to reduce the noise that is inherent in all digital images. This paper presents a critical analysis of image noise reduction algorithms in general. Noise removal is an important task in image processing. The results of the noise removal have a strong influence on the quality of image processing techniques. The nature of the noise removal problems depends on the type of noise corrupting the images. Several techniques for noise removal are well established in the domain of image processing. This Paper presents a comparative analysis on some of the efficient image de-noising algorithms and analyses different objective image quality measurement parameters.

 


Keywords


Image Noise, Linear filter, Non-Linear filter, Adaptive Filter, Median Filter, Image Quality Evaluation Metrics, Image Quality Index