The image enhancement process of a digital image is a part of digital signal processing which it plays an important role in some industrial segments for instance object classification or bio-identification satellite exploration or aerial images robot vision cancer treatment etc. These image applications are necessary to consume many resources in physical hardware and computer programming including the intelligent algorithm development of complexly advanced processing in order to enhance digital images – as well as be easy to analyse by humans. This research is aimed to present on Contrast Enhancement using Bi-Histogram Equalization via Two Dimensional Discrete Wavelet Transform (BHE2DWT) in order to compose the coefficient wavelet from other signals. At the end of the process information on the approximation band from DWT will be divided into two sub-histograms and then histograms will be independently equalized. After that resulting histograms will be decomposed by IDWT. Resulting images will be not only more displaying in high contrast than their original images but also preserve the absolute mean brightness error (AMBE) to close their original images.

The main problems of learning skills of a physics I for engineer’s course due to the lack of standard computer assisted instruction multimedia and its abstract nature therein were improved and repelled by using the invented teaching animation modules. Applying the established e-learning multimedia modules to the registered students from many faculties of the Rajamangala University of Technology Phra Nakorn via the learning management system it found that the improvement recipes have appropriate to increase both the learning skills and their highly attitude to this subject. The improved students by the invented media can effectively apply the contents to the higher levels study of concerning subjects.