Research And Implementation Of Fast Video Super-Resolution Algorithm Based On Mobile Phone

With the popularity of smart phones,people are increasingly using mobile phones to take videos,but the quality of video images taken by mobile phones is not high,and super-resolution reconstruction is a key technology that can be used to improve image quality.The super resolution reconstruction algorithm based on video sequences can make full use of the information between the previous and the next frame to make the image detail information more abundant,compared with the reconstruction based on a single image has a better reconstruction effect.However,the current super-resolution reconstruction algorithms based on video sequences generally have problems of slow reconstruction speed and unsatisfactory reconstruction quality.In order to solve the above problems,this dissertation makes deep research on the video super-resolution algorithm applicable to mobile phones.The main research contents and research results obtained are as follows:(1)A super-resolution reconstruction algorithm for video sequences based on Patch Symmetry Collapse(PSyCo)is constructed.In order to construct a video sequence super-resolution reconstruction algorithm with good reconstruction effect and fast reconstruction speed,three reconstruction algorithm frameworks are constructed,which are:Registration ? PSyCo Reconstruction per frame ?Maximum fusion(Reconstruction Frame 1),Registration? Maximum fusion ? PSyCo Reconstruction per frame(Reconstruct Frame 2),Registration ?-Single-frame PSyCo reconstruction of other interpolated reconstructions ?Gaussian fusion(Reconstruction Frame 3).Through the experimental comparison,the Reconstruction Framework 3 has the best overall performance.Therefore,the algorithm uses the reconstruction framework as the basic framework.The specific steps are as follows:First,the ORB-based image registration is performed on the low resolution video sequences;Secondly,registration is performed after each image PSyCo reconstruction;Third,the reconstruction of the image pixel gray maximum fusion to get the final reconstruction results.Experimental results show that compared with the previous classic algorithms,this algorithm has better reconstruction effect and higher reconstruction speed,and it is relatively simple to implement and is suitable for transplantation on mobile phones.(2)The video super resolution reconstruction function on the Android mobile phone is realized.Firstly,the video sequence super resolution reconstruction algorithm based on PSyCo is implemented in C++ code,and the algorithm is optimized.Then the.so dynamic link library is generated by using NDK to compile the C++ code,and the algorithm test demo software(APP)is designed and implemented.The test results show that the demo application can quickly realize super resolution construction of video sequences on mobile phones.