Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Image subjective visual effect enhancement method based on Laplace pyramid

A visual effect and pyramid technology, applied in the field of image processing, can solve problems such as over-enhancement, and achieve the effect of avoiding excessive image noise and image enhancement.

Active Publication Date: 2020-06-16
北京锐影医疗技术有限公司
View PDF15 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method for enhancing the subjective visual effect of an image based on the Laplacian pyramid, which can alleviate the boundary effects, over-enhancement and noise that may occur in the image enhanced by the traditional contrast-limited adaptive histogram equalization method Significantly improve the subjective visual effect of the image

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 subjective visual effect enhancement method based on Laplace pyramid
  • Image subjective visual effect enhancement method based on Laplace pyramid
  • Image subjective visual effect enhancement method based on Laplace pyramid

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0036] A kind of image subjective visual effect enhancement method based on Laplacian pyramid according to the present invention, its flow chart is as follows figure 1 shown, including the following steps:

[0037] Step S1: Image Laplacian Pyramid Decomposition

[0038] Using existing technology to decompose the input image into a Laplacian pyramid to obtain an approximate image Lp K and the multi-scale detail image Lp k (k=1,2,...,K-1); then scale the multi-scale detail image to the approximate size of the image, and calculate the mean value of the scaled image to obtain the multi-scale detail mean image Among them, K is the number of layers of the Laplacian pyramid, Lp_resized k (k=1,2,...,K-1) is the scaled mult...

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 relates to an image subjective visual effect enhancement method based on a Laplace pyramid, and belongs to the field of digital image processing. The method comprises the steps of 1, performing Laplace pyramid decomposition on an original image to obtain an approximate image and a multi-scale detail image; and 2, enhancing the approximate image based on an improved contrast limited adaptive histogram equalization algorithm; 3, enhancing the multi-scale detail image; and 4, performing Laplace inverse transformation on the enhanced approximate image and the multi-scale detail imageto obtain an enhanced image. Through the steps, the problems of boundary effect, over-enhancement, overlarge noise and the like possibly occurring in the image after traditional contrast-limited adaptive histogram equalization enhancement can be effectively relieved, and the subjective visual effect of the image is remarkably improved.

Description

technical field [0001] The invention provides a method for enhancing the subjective visual effect of an image based on a Laplacian pyramid, which belongs to the technical field of image processing. Background technique [0002] Image enhancement is an important processing step in image processing, which can effectively improve image quality and enhance the subjective visual effect of images. Among them, contrast-limited adaptive histogram equalization is one of the most commonly used local image enhancement algorithms. It first divides the image into multiple continuous non-overlapping image blocks, and then performs histogram correction and equalization respectively to obtain the corresponding gray degree mapping function, and finally perform bilinear interpolation to alleviate the discontinuous effect between different image blocks. This algorithm can effectively enhance the detail information of the local image and improve the subjective visual effect of the image, but i...

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): G06T5/00G06T5/40
CPCG06T5/40G06T2207/20016G06T2207/20021G06T2207/20048G06T5/70
Inventor 黄立东黄黎明李志明陈海华
Owner 北京锐影医疗技术有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com