Abstract
Nowadays, the image's compression presents major interest for storage and communication. This paper deals with DNA's particular images and compression based on frequency and time frequency Transform methods. Three compression methods realized by such Transforms have been studied. The first is based on the Discrete Cosine Transform (DCT), the second used the “Wavelet Transform” and the third is realized by the Curvelet Transform. We have investigated all the methods and adopted them on DNA's images (Chromosome I of C. Elegans). Then we evaluated their performances by calculating the Compression Rate (CR), the Peak Signal to Noise Ratio (PSNR) and also the Structural Similarity (SSIM) Index. We obtained promising results, especially with the Curvelet Transform that was used to improve our approach. CR, PSNR, SSIM reached 93.63, 97.0767 and 1, respectively.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call