Image quality enhancement method based on bilinear interpolation and wavelet transform

A bilinear interpolation and wavelet transform technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problem of poor enhancement effect

Inactive Publication Date: 2021-07-02
GUILIN UNIVERSITY OF TECHNOLOGY
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the shortcomings of traditional image enhancement methods with poor enhancement effects, this paper takes the most widely used digital image as the research object, and combines bilinear interpolation and wavelet transform methods, and proposes an image quality algorithm based on bilinear interpolation and wavelet transform. Enhanced 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
  • Image quality enhancement method based on bilinear interpolation and wavelet transform
  • Image quality enhancement method based on bilinear interpolation and wavelet transform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0009] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0010] The flow chart of the present invention is as figure 1 As shown, an image enhancement method based on bilinear interpolation and wavelet transform, the method specifically includes the following process:

[0011] Step 1: Input the original image M, perform bilinear interpolation and histogram equalization on M respectively, and generate image M1 and image M2 respectively.

[0012] Step 2: Decompose M and M2 by wavelet transform. The image M is decomposed into four subbands HH1, HL1, LH1, and LL1, and the image M2 is decomposed into four subbands HH2, HL2, LH2, and LL2.

[0013] Step 3: Singular value decomposition is performed on the low-frequency sub-band, and the correction coefficient of the singular value decomposition is obtained first, and its expression is as follows:

[0014] n=maxLL2 / maxLL1

[0015] Among them, maxLL1 repres...

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 an image quality enhancement method based on bilinear interpolation and wavelet transform. According to the algorithm, histogram equalization and bilinear interpolation enhancement are carried out on an image to maintain good detail quality, then wavelet transformation is carried out on the image after histogram equalization and an original image, each input image is divided into four sub-bands, a singular value matrix of a low-frequency sub-band image is estimated, then the image is enhanced through wavelet reconstruction, and finally, histogram matching is performed on the result image and the bilinear interpolation image to obtain an enhanced image. The method can well enhance the image.

Description

technical field [0001] The invention belongs to the field of digital image processing of information enhancement, and the subject content is an image quality enhancement method based on bilinear interpolation and wavelet transformation, which has a better image enhancement effect. Background technique [0002] In recent years, network information technology has developed rapidly all over the world, and at the same time, the amount of data has also increased sharply. The most intuitive way for people to obtain information is through visual observation of images, and the images contain a lot of information. The information contained in these images can help people make more accurate judgments. more accurate. [0003] Image enhancement is a very important image preprocessing process in image pattern recognition, and it is the simplest and most attractive technique in digital image processing to reveal the details of blurred images. Image enhancement can purposely emphasize th...

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 & Authority Applications(China)
IPC IPC(8): G06T5/10G06T5/40G06T5/00
CPCG06T5/10G06T5/40G06T5/007G06T2207/20064
Inventor 叶汉民苏可琴刘英志
Owner GUILIN UNIVERSITY OF TECHNOLOGY
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