gpgpu present 1
DESCRIPTION
The first presentation of gpu project.TRANSCRIPT
698470025 薛健鑫
R98944017 蔡昆修
R98922041 何星翰
Super-resolution (SR) Super-resolution is a techniques that enhance the
resolution of an imaging system.
Two approach of SR
single-frame approach
multiple-frame approach
Super-resolution (SR)original low-resolution sequential frames of video
The same frames zoomed 4 times
Zoomed with super resolution
Super-resolution (SR)
Method (multiple-frame)
Step1. High Quality Spatial Upscaling(Lanczos3)
Step2. Motion CompensationAlgorithms
try to extract details from every image in a sequence to reconstruct other frames.
Upsize Upsize all frames 2 times using interpolation
Using Lanzcos filter to get high quality result
Motion compensation Motion compensation is a technique used by video
compression
Suppose the only difference between one frame and another is the result of either the camera moving or an object in the frame moving.
Motion compensation takes advantage of this to provide a way to create frames of a movie from a reference frame.
Motion compensation In this case, we use motion compensation technique
for finding corresponding areas in neighbor frames
User Interface: Video Player
Interactive Video Player
Can zoom in and zoom out when watching video
High Quality SR image when zoom-in
Cuda acceleration
Video Encode and Decode
Upsize image , Lanczos3 interpolation
Motion compensation
Real time system(final goal) Using CUDA to get real-time SR video player
At least fast off-line system
Reference1. R. Y. Tsai and T. S. Huang, "Multiframe image restoration and registration," in Advances
in Computer Vision and Image Processing, vol. 1, chapter 7, pp. 317-339, JAI Press, Greenwich, Conn, USA, 1984.
2. M. Irani and S. Peleg. 1991, "Super Resolution From Image Sequences" ICPR, 2:115--120, June 1990.