Fast block prediction-based coding of compound images by exploiting edge orientation Online publication date: Sun, 21-Apr-2013
by S. Ebenezer Juliet; V. Sadasivam; D. Jemi Florinabel
International Journal of Signal and Imaging Systems Engineering (IJSISE), Vol. 6, No. 2, 2013
Abstract: Compound images are a combination of text, graphics and natural images. This paper presents a new fast block prediction algorithm for coding of text/graphics parts which exploits the direction of edges in the text/graphics blocks. The proposed scheme classifies the text/graphics blocks into four kinds of blocks using edge characteristics of transformed coefficients of blocks. This edge-based block classification improves the speed of intra-block prediction mode decisions significantly. Experimental results show that the proposed method improves the value of PSNR more significantly than standard JPEG, JPEG-2000 and H.264/AVC-I, while keeping competitive compression ratio and visually lossless quality of text information.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Signal and Imaging Systems Engineering (IJSISE):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com