Study On HVS-based Image Fusion Technology And Its Quality Evaluation

The Self-Control Photo System can meet the higher requirement for Digital Application systems in experience economic booming period. It consists of Image Acquisition Unit, Image Extraction and Image Fusion Unit. The research on the first two units presents satisfying results.At the beginning, this paper discusses the Low-level Vision Elements Extraction and Detection theory, especially in Computer Vision systems and its practical meaning. Then the roles and prospects of Image Fusion in Virtual-Reality application based on PC are analyzed. Following the possibility and necessary analysis, the major research missions and expected targets are constructed. According to the deficiency of Image Fusion applications in entertainment equipments, such as no special research that combines Virtual Reality, Self-control Photographing, Computer Vision and Image Fusion technologies together, we propose an Image Fusion algorithm base on Character of Apperceiving Contrast, which take system elements into account, e.g. integrity image quality balance and costs. Based on the entire analysis of Self-Control Virtual Real-time Photographing, the algorithm not only introduces the Information Fusion theory and Human Vision System to Virtual Photographing system, but also resolves the hard color-key problem caused by traditional key control method. It reveals humanistic function and good practical value.The image probably occurs color distortion that is influenced by optical equipment. In this paper, the HVS color invariance characters is construed, an complexion rectify algorithm based that is proposed, which can automatically adjust and compensate the image quality according to the external environment influence.After summarized traditional evaluation methods and research on the Image Fusion trends, it is obvious to adopt HVS method to achieve good results. An image quality evaluation method is proposed, which is entertainment-oriented, appended with experiment results.This paper studies the Image-Fusion in Self-control Virtual Photographing through three periods working, which are theory analysis, practical implantation and theory breakthrough with simulation. The experiment results prove that the theory and the algorithms are correct; also it displays good system stability, robust quality. All of above reveals the great application potential of Image Fusion technology.