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Study of Various Filtering Techniques, Genetic Algorithm and Fuzzy Logic for Reducing Blocking Artifacts in Compressed Images

Pearl Sahni, Gaganjot Kaur

Blocking artifacts are the most common trouble creators for the image quality. They often declare their presence when image is compressed at low bit rates and are usually visible at the centre and at edges of the image. Discrete cosine transformation (DCT) is the most commonly used technique for image compression due to its accuracy and efficiency. During DCT image compression, blocking artifacts are observed at quantization process because of change in original values of DCT coefficients. Various studies have been made and a lot of filtering techniques than can be applied alone or with Genetic algorithm and fuzzy logic have been represented to significantly reduce these blocking artifacts. Some of these algorithms have better accuracy than others to reduce blocking artifacts at the image centre while some are good to reduce them at the edges. This paper is a study of various filtering techniques, genetic algorithm and Fuzzy logic that is effective in reducing blocking artifacts.