A novel color image coding technique using improved BTC with k-means quad clustering

8Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

A new approach to color image compression on HSV model with good quality of reconstructed images and better compression ratio using Improved Block Truncation Coding algorithm with k-means Quad Clustering (IBTC-KQ) is proposed in this paper. The RGB plane of the color image is transformed into HSV plane in order to reduce the high degree of correlation between the RGB planes. Each HSV plane is then encoded using IBTC-KQ method. The block sizes are chosen based on the information content of the respective plane. The result of the proposed method is compared with that of other BTC based methods on RGB model and it shows a better performance both in the visual quality and compression ratio. Also the proposed method involves only less number of simple computations when compared with other BTC methods. © Springer International Publishing Switzerland 2014.

Cite

CITATION STYLE

APA

Mathews, J., Nair, M. S., & Jo, L. (2014). A novel color image coding technique using improved BTC with k-means quad clustering. In Advances in Intelligent Systems and Computing (Vol. 264, pp. 347–357). Springer Verlag. https://doi.org/10.1007/978-3-319-04960-1_31

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free