As an important media information, digital image has a wide range of applications in various fields. And with the rapid development of smart phones, the rapid of people take pictures and videos on the phone.It is applied to a variety of occasions as well, such as social, monitoring and etc. Due to the limitation of equipment and environment, the image is often blurred. In addition to social applications, the demand for image beautification is also increasing. It makes the image processing technology has became a research hotspot in digital signal processing.In this paper, based on the current hot application of mobile phone applications, researched and implemented image enhancement and image beautification technology. In order to improve the quality of the image. The main work of this paper is as follows.1. In this paper, we studied and implemented the image motion deblur method, which realized the non-blind motion deblur and blind motion deblur method, which can effectively solve the problem of image blur caused by the motion.2. This paper realized a fog image enhancement algorithm, which can effectively improve the subjective quality of the image in the fog and haze.3. With the need of the face beautification in the application of social communication, this paper achieved a face image beautification method.This method can effectively balance the processing speed and beautifying effect. It had been applied to real-time video communication application.4.This paper also implements a set of test system. The system integrates a variety of image enhancement and landscaping methods, can be integrated image processing. |