Open AccessDocument Image Compression using DC-DWT
Author(s) -
Prof. S. S. Thakare,
Prof. Dr. S. N. Kale
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j9740.0881019
Subject(s) - artificial intelligence , discrete wavelet transform , computer vision , image compression , computer science , jpeg , wavelet transform , top hat transform , data compression , image processing , wavelet , digital image , image (mathematics)
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.