Digital image triple interpolation amplification method by combining local direction features

A technology of digital image and local orientation, which is applied in image data processing, graphics and image conversion, instruments, etc., and can solve the problems of reduced computing speed, inaccurate estimation of local texture features, errors, etc.

Inactive Publication Date: 2012-10-24
SOUTHWEST JIAOTONG UNIV
View PDF4 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, because this method needs to perform bilinear interpolation on the low-resolution image first when calculating the directional features, it not only reduces the calculation speed, but also makes the interpolated image una

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
  • Digital image triple interpolation amplification method by combining local direction features
  • Digital image triple interpolation amplification method by combining local direction features
  • Digital image triple interpolation amplification method by combining local direction features

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0095] figure 1 , 2 It is shown that a specific embodiment of the present invention is a three-fold interpolation and magnification method for digital images combined with local direction features, the steps of which are as follows:

[0096] 1) Direction feature extraction

[0097] Use gradient, directional filter or ultra-wavelet method to extract low-resolution image X={x i，j |i=1, 2,..., m; j=1, 2,..., n} directional characteristics D in four directions of 0°, 45°, 90° and 135° k (k=1, 2, 3, 4):

[0098] D k = { d i , j k | k = 1,2,3,4 }

[0099] Among them, k represents the direction, k=1, 2, 3, 4 respectively correspond to the directions of 0°, 45°, 90° and 135°; m, n are the dimensions of the low-resolution image X, and the direction feature D k same size as X; ...

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 invention discloses a digital image triple interpolation amplification method by combining local direction features. According to the method, firstly, four direction feathers with low-resolution-ratio images are extracted, and then, interpolation points are divided into three types according to the position relationship, and the interpolation is respectively carried out. For different-line different-row interpolation points, distances between known points and points to be interpolated and corresponding direction feathers are firstly used as weighting coefficients for carrying out interpolation, then, the direction feathers of the known points in the adjacent region are used for judging whether sub blocks are 45-degree and 135-degree high-texture regions or not, and if so, the corresponding interpolation points are updated in the texture direction by a linear interpolation method; and when same-line same-row points to be interpolated are evaluated, interpolation points of 0-degree and 90-degree high texture regions are subjected to interpolation in the corresponding direction, and other points are reconstructed according to the traditional linear interpolation method. The method has the advantages that edge fuzzyness and sawtooth phenomena of the interpolation images can be effectively inhabited, meanwhile, the operation time is shortened, the edges of the reconstructed images are clearer, and the visual effect is sharper.

Description

technical field [0001] The invention belongs to the technical field of image super-resolution (Super Resolution) reconstruction. Background technique [0002] Image super-resolution reconstruction technology refers to using one or more low-resolution images to reconstruct a high-resolution image by estimating the high-frequency information lost in the low-resolution images. Image super-resolution reconstruction technology is widely used in remote sensing satellite images, military reconnaissance, medical imaging, security monitoring, and traffic management, and has broad application prospects and important research value. [0003] As an important branch of image super-resolution (SR) reconstruction, interpolation magnification has the characteristics of simple implementation and fast operation speed. Traditional interpolation methods include nearest neighbor, bilinear and bicubic interpolation, etc. These methods use the distance factors from known points in the neighborhoo...

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
IPC IPC(8): G06T3/40
Inventor 和红杰赵亮陈帆尹忠科
Owner SOUTHWEST JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap