Review of various color image denoising and filtering methods

What is it about?

This is a review about filtering methods for color image restoration. It discusses different filtering methods to remove noise from images. The filtering methods are compared and divided into classes, such as spatial domain, switching and wavelet filtering methods. The methods are compared and analyzed in terms of image quality and the methods used. The methods are also classified by domain, filter used, and strategies used in filter design.

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Photo by Anton Darius on Unsplash

Photo by Anton Darius on Unsplash

Why is it important?

This study is important because it provides a comprehensive review of filtering methods for color image denoising, which is an important preprocessing task before further downstream image processing steps, such as facial emotion recognition, ancient character recognition, text image processing and object recognition.

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