Indian Journal of Science and Technology
DOI: 10.17485/ijst/2008/v1i3/5
Year: 2008, Volume: 1, Issue: 3, Pages: 1-5
Original Article
K.Vivekanandan1 , P.Krishnakumari 2
1School of management, Bharathiar University, Coimbatore, Tamilnadu, India
2Department of Computer Science, Sri Ramakrishna College of Arts and Science for Women , Coimbatore -641044 , Tamilnadu, India
*Author for the correspondence:
P.Krishnakumari
Department of Computer Science, Sri Ramakrishna College of Arts and Science for Women , Coimbatore -641044 , Tamilnadu, India
E-mail: [email protected]
In this paper the image compression problem is analyzed using genetic clustering algorithms based on the pixels of the image. The main problem to solve is to find an algorithm that performs the clustering efficiently. The possibility of solving clustering problems with genetic algorithms provides optimal solution. The present work makes use of genetic clustering algorithms to obtain an ordered representation of the image and then applies the DWT (Discrete Wavelet Transformation) to compress the image. The image quality is measured using PSNR measure. The genetic algorithm (GA)-based compression image has more PSNR value compared to the image without GA. It shows that the quality of the image is good for GA based compression. Also it reduces the problem of memory utilization efficiently due to compression and at the same time quality of the image is maintained due to GA.
Keywords: Genetic algorithms, clustering, image compression, discrete wavelet transformation.
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