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This paper emphasizes on designing of a novice quantizer that is more suitable for compressing images through curvelet transform. This compression algorithm is tested on various images like plain, textured and building images. The results are compared with the existing techniques like curvelet with existing quatizer, wavelet with existing quantizer and wavelet with proposed quantzer. The proposed algorithm “curvelets with proposed quantizer” outperforms the existing techniques. The performance is evaluated through visual clarity , Peak Signal to Noise Ratio (PSNR) and compression metrics such as Compression ratio and Bit-rate.
Dr. G.Jagadeeswar Reddy. 1970. "Curvelets With New Quantizer For Image Compression". Global Journal of Computer Science and Technology GJCST Volume 12 (GJCST Volume 12 Issue 8).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Total Score: 150
Country: India
Subject: Global Journal of Computer Science and Technology
Authors: Dr. G.Jagadeeswar Reddy, T.Jaya Chandra Prasad, M.N.Giri Prasad, M. Madhavi Latha, T. Satya Savithri (PhD/Dr. count: 1)
View Count (all-time): 316
Total Views (Real + Logic): 3969
Total Downloads (simulated): 192
Publish Date: 2012 05, Tue
Monthly Totals (Real + Logic):
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