Information Entropy for Color Image Format Conversion

In this paper, we propose a method which implements Shannon’s information theory on entropy evaluation and use the results for weight decision. We assume that there are two conventional methods, LA and ELA. Using Shannon’s information theory we obtained entropy values which are used as weights for choosing interpolation method. The original image is downsampled to be low resolution image, where we apply Shannon’s entropy evaluation equation. Finally, result image is obtained by weighted interpolation between LA and ELA. Simulation results show the proposed method gives satisfactory results.