Genetic algorithm for single bit map absolute moment block truncation coding of color images

Shen-Chuan Tai; Wen-Jan Chen; Po Jen Cheng

doi:10.1117/1.601772

1 September 1998 Genetic algorithm for single bit map absolute moment block truncation coding of color images

Shen-Chuan Tai, Wen-Jan Chen, Po Jen Cheng

Optical Engineering, Vol. 37, Issue 9, (September 1998). https://doi.org/10.1117/1.601772

A color image compression method based on a genetic algorithm and absolute moment block truncation coding (BTC) is proposed. Color images comprise three planes: red, green, and blue. There are very high correlations between the images in these planes. This motivates the use of one common bitmap to represent all three color bitmaps. In order to generate such a bitmap so that the average mean squared error between original and reconstructed images is a minimum, the genetic algorithm is applied. Comparison of results with various methods have verified that the proposed method has higher performance than the other schemes for single bitmap BTC coding of color images.

Citation Download Citation

Shen-Chuan Tai, Wen-Jan Chen, and Po Jen Cheng "Genetic algorithm for single bit map absolute moment block truncation coding of color images," Optical Engineering 37(9), (1 September 1998). https://doi.org/10.1117/1.601772

Published: 1 September 1998

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available