Document Image Compression using DC-DWT
S. S. Thakare1, S. N. Kale2
1Prof. S. S. Thakare, Assistant Professor, GCOEA, Amravati, India.
2Prof. Dr. S. N. Kale, Assistant Professor, SGBAU, Amravati, India.
Manuscript received on 01 August 2019 | Revised Manuscript received on 09 August 2019 | Manuscript published on 30 August 2019 | PP: 3505-3509 | Volume-8 Issue-10, August 2019 | Retrieval Number: J97400881019/19©BEIESP | DOI: 10.35940/ijitee.J9740.0881019
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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: Scanned Document Image compression is an important technology for digital image transmission and storage. This study proposes a unique image compression system based on discrete curvelet transform & discrete wavelet Transform (DC-DWT) with a varying pixels position. The discrete wavelet and the Curvelet transform technique, which because of their outcomes and characteristics, DWT and CT are the most suitable technology for the varied field of image processing. The position of a pixel in the document images and the high-impact components are handled using the curve let transform technique during the compression of the JPEG image. The Cuckoo search algorithm is used for image enhancement. Depending on two primary criteria checks, excellent outcomes were achieved; the compression ratio and the quality of recreated scan document.
Keywords: Compression, Image Compression, Cuckoo Search Algorithm, Curvelet Transform, DCT, DWT, Wavelet Transform
Scope of the Article: Image Security