Comparative Analysis of DCT, DWT &LWT for Image Compression
Preet Kaur1, Geetu lalit2
1Asst. Prof. Preet Kaur, ECE Department, YMCAUST, Faridabad, India.
2Geetu Lalit, ECE Department, YMCAUST, Faridabad, India.
Manuscript received on August 01, 2012. | Revised Manuscript received on August 05, 2012. | Manuscript published on August 10, 2012. | PP: 90-93 | Volume-1 Issue-3, August 2012. | Retrieval Number: C0223071312/2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Image compression is a method through which we can reduce the storage space of images, videos which will helpful to increase storage and transmission process’s performance. In image compression, we do not only concentrate on reducing size but also concentrate on doing it without losing quality and information of image. In this paper, we present the comparison of the performance of Discrete cosine transform, Discrete wavelet transform & Lifting wavelet transform for implementation in a still image compression system and to highlight the benefit of these transforms relating to today’s methods. The performance of these transforms are compared in terms of Peak-signal-to-noise ratio (PSNR), Signal to noise ratio SNR, Mean squared error (MSE), Energy Retained (ER) & Execution time etc.
Keywords: DWT, DCT, LWT, image compression.