Dictionary image super-resolution system and method based on iterative projection reconstruction

A super-resolution and super-resolution reconstruction technology, which is applied in the field of dictionary image super-resolution systems, can solve the time-consuming problems of high-resolution reconstruction

Active Publication Date: 2019-07-09
PEKING UNIV SHENZHEN GRADUATE SCHOOL
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it is very time-consuming to use the dictionary for high-resolution reconstruction block by block in this type of method

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Dictionary image super-resolution system and method based on iterative projection reconstruction
  • Dictionary image super-resolution system and method based on iterative projection reconstruction
  • Dictionary image super-resolution system and method based on iterative projection reconstruction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention will be further described in detail below in conjunction with the drawings and specific embodiments.

[0056] Such as figure 1 As shown, the present invention first provides a dictionary class image super-resolution system based on iterative projection reconstruction, which includes:

[0057] The dictionary training and projection matrix precomputing modules are used to extract high-resolution image blocks from the training image set and select corresponding low-resolution image blocks as samples from the downsampled image of the image, and then use the K-means clustering method Train the dictionary, calculate the Euclidean distance between each atom in the dictionary and all samples, select the nearest neighbor to form the K-nearest neighbor of the atom, and then use the K-nearest nei...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention provides a dictionary-type image super-resolution system and method based on iteration projection reconstruction. The system comprises: a dictionary training and projection matrix pre-calculation module, a projection matrix-based iteration projection super-resolution reconstruction module, and a global restriction-based post-processing module. The method comprises: step S1, learning a dictionary, and calculating a projection matrix; step S2, projection matrix-based iteration projection super-resolution reconstruction: inputting y for a low-resolution image block, searching the dictionary for an atom most similar to y, performing super-resolution reconstruction on y by using a projection matrix of the atom, performing projection reconstruction on a generated residual vector again to obtain high-resolution reconstruction of the residual vector, performing iteration reconstruction in such a way, and finally, performing weighted addition on all reconstruction components, the sum serving as a final reconstruction result; and step S3, globally restricting a reconstructed image to eliminate an unnatural effect. The present invention can effectively increase the calculation speed of a dictionary-type method and can recover image high-frequency detail information.

Description

technical field [0001] The invention relates to the technical field of image and video super-resolution, in particular to a dictionary-like image super-resolution system and method based on iterative projection reconstruction. [0002] technical background [0003] Super-resolution (Super-Resolution), also known as upsampling and image enlargement, refers to the recovery of high-resolution clear images from low-resolution images. Super-resolution is one of the basic problems in the field of image and video processing, and has a very broad application prospect in medical image processing, image recognition, digital photo processing, high-definition television and other fields. [0004] One of the most classic super-resolution algorithms is a kernel-based interpolation algorithm, such as bilinear interpolation, spline interpolation, and so on. However, this type of algorithm generates continuous data through known discrete data, which will bring effects such as blurring and al...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & AuthorityPatents(China)
IPC IPC(8): G06T3/40
CPCG06T3/00
Inventor赵洋王荣刚高文王振宇王文敏
OwnerPEKING UNIV SHENZHEN GRADUATE SCHOOL