Sharpening Method for Dynamic Images of Remote Network Video

Abstract

Sharpening for dynamic images of remote network video is helpful to improve the dynamic images quality of remote network video and facilitate the subsequent use. Currently, most of remote network video dynamic images are completed based on the DSP chip, the cost of processing is high. In this paper, we propose a method to sharpen remote network video dynamic images based on the physical model. Firstly, image enhancement is carried out. Then, the dark channel priority method and the transmittance estimation method are analyzed to complete the sharpening. Experiments show that the proposed method can effectively improve the efficiency of image sharpening, and the sharpness of image is high and the practicability is strong.