Informatics Publishing Limited

S. Akila Pradeep ¹, R. Manavalan ¹

Affiliations
1 Department of Computer Science, K.S. Rangasamy College of Arts and Science, Tiruchengode-637215, Tamilnadu, IN

Abstract

Compressing an image is different than compressing raw binary data. Of course, general purpose compression Techniques can be used to compress images, but the result is less than optimal. Statistical properties of image have been exploited by encoders specifically designed for them. This also means that lossy compression techniques can be used in this area. In this paper, cuckoo algorithm is integrated with genetic algorithm in image compression framework. Here image compression is implemented with the combination of cuckoo search and genetic algorithm optimization with Discrete Cosine Transform (DCT). The experimental result clearly shows that the efficiency proposed image compression method is better than other based on statistical parameter of PSNR, MSE and CR.

Keywords

Cuckoo Search (CS), Genetic Algorithm (GA), Discrete Cosine Transform (DCT), Image Compression.

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S. Akila Pradeep ¹, R. Manavalan ¹

Affiliations
1 Department of Computer Science, K.S.Rangasamy College of Arts and Science Thiruchengode 637215, Tamilnadu, IN

Abstract

Image compression is the significant research area in the field of image processing. The Transform selection in image compression has played a vital role since the size of the resultant compressed image should be reduced in comparison with the original image. Numerous image compression standards based on Wavelet Transform have been devoted in the literature but still there exist scope of yielding better compression with high quality in image reconstruction. Existing image compression technique using DWT with Biorthogonal filtering accommodates less compression ratio with poor image quality of reconstructed image. With that concern, image compression using Radon Transform with DCT (Discrete Cosine Transform) is proposed in this paper that contribute different dimension to the image compression. The image compression using Radon Transform with DCT accords best performance whereas the image compression using DWT with Bi-orthogonal filtering performs the least. Experimental evaluation has been effectuated to arrive at the conclusion that better results for PSNR and compression ratio is used for selecting best image compression technique.

Keywords

Image Compression, Discrete Wavelet Transform (DWT), Radon Transform (RT), Discrete Cosine Transform (DCT).

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