Research And Implementation Of Visual Perception Enhancement Algorithms Based On Illuminance-Reflectance Model

Image enhancement is a kind of technology about highlighting some information which you want, and removing irrelevant information which you do not need, so that it can improve visual effects and perception. Images are more suitable to the human eyes and computer recognition after the enhancement. The goals and methods of image enhancement are often related to the specific applications. Researchers commonly use a specific algorithm for different images under various conditions. There is few common enhancement methods for enhancement. In recent years, images can not be recognition by the restrictions of the scene and image equipment, even under the uniform illumination and low lights conditions. Human visual system can be able to accurately perceive the external scene in a variety of light conditions with the adaptive adjustment function. Therefore, the way to simulate human eyes is an effective enhancement method. In this paper, the images under uniform illumination and low lights have been researched. An enhancement algorithm based on illuminance/reflectance model is proposed. The main tasks of this paper include:1. Illuminance/reflectance model has been studied. Estimate illuminance by local of image could more accurately, so illuminance estimation based on image block is proposed in this paper. The necessity of this algorithm has been verified in Database.2. Image enhancement algorithm on dynamic range adjustment and contrast enhancement has been studied. Dynamic range adjustment in illuminance/reflectance model Based on logarithmic function was proposed. According to the database, the algorithm can effectively enhance the brightness of the lower region; inhibit the brighter region, so that the image will be more suitable for human eyes observation.3. The algorithm of gray world and white balance has been studied. A method based on white balance was proposed. This algorithm can effectively remove color cast for visual observation of human eyes.4. The proposed enhancement algorithm is used to fastener detection. It has improved accuracy of fastener position and identification of fastener position.