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An Efficient Vector Quantization Based Image Compression using Fruit Fly Algorithm
Abstract
Image compression is a searing research topic because of the large-scale increase in multimedia applications. The goal of the image compression is not only to reduce the quantity of bits needed to represent the images but also to get used to the image quality in accordance with the users’ requirements. The existing methodology CSGRVQ is evaluated by the performance of the parameter. Fruity Fly (FF) optimization algorithm proposed to further improving the FF-GRVQ. Extensive experiment demonstrates our proposed FF-GRVQ algorithm outperforms existing algorithm in term of quantization accuracy and computation accuracy.
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References
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