A Study on Image Quality Assessment using Neural Networks and Structure Similarty

Artificial Neural Network (ANN) is a method of the mathematical functions to simulate the human nervous cells in the processing system. The advantage of ANN is using the model of neural network system with constantly training to gain the accurate results. Structure Similarity (SSIM) comprise the image brightness, contrast, and structure, it expresses the quality of the images comprehensively. This research combines the Artificial Neural Network perceptrons and Structure Similarity characteristics to create different types of images suitable for weight value, expect through the video image intensifier to improve the visual identification, and provides the automatic image processing procedure in the future (e.g. analyze, detection, division, and identify). The “Image Intensifier Filter System” which could automaticaly strengthen the video image according to different types of video image is developed for this research.