Contourlet transform-based drawing method

A scale and image technology, applied in the field of computer graphics, can solve the problems that filters do not have multi-scale characteristics, reconstruction methods do not use anisotropic features, and do not consider drawing space anisotropy, etc., to solve the problem of boundary aliasing, Avoid localized, highly portable effects

Inactive Publication Date: 2013-07-03
INST OF SOFTWARE - CHINESE ACAD OF SCI
View PDF2 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The traditional adaptive rendering methods generally have the following defects: (1) The locality of the adaptive analysis function, the sampling method only places sampling points according to the local information of the image to be drawn; (2) The reconstruction method does not use anisotropic features, no Considering the anisotropy of the drawing space, aliasing will occur at the boundary after filtering; (3) The filter does not have multi-scale characteristics, and filters of different sizes need to be constructed for different pixels; (4) The sampling method is independent of the reconstruction method, Reconstruction does not depend on the sampling method, but only reconstructs the image according to the sampling points obtained by sampling

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
  • Contourlet transform-based drawing method
  • Contourlet transform-based drawing method
  • Contourlet transform-based drawing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] figure 1 In order to iteratively decompose the coarse-grained image into multi-scale coarse and fine-grained images and multi-scale directional subbands using the Multiscale Laplacian Pyramid (MLP) and Directional Filter Banks (DFBs) in Contourlet. For details, see steps 2, 3, and 5.

[0030] like figure 2 Shown, the present invention is concretely realized as follows;

[0031] Step 1: After roughly sampling the space to be drawn, use it as the initial input image for sampling analysis, randomly place sampling points in the sampling space, and use the sampled image as f 0 As the input of the multi-scale Laplace pyramid transform;

[0032] Step 2: Using the Multiscale Laplacian Pyramid (MLP) transform in Contourlet, iteratively decompose the input image into coarse-grained and fine-grained images of 0 to K scales. For scale K, the input image f k Generate images of the same size by displacement Each transformed image is filtered and down-sampled using filter H to...

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 provides a Contourlet transform-based drawing method. A drawing space is decomposed into coarseness information and detail information with different scales by using Laplacian pyramid transformation in Contourlet, and an adaptive sampling method is provided according to an analysis result. Multi-scale direction sub-bands of the drawing space are obtained through a direction filter group in the Contourlet by using a multi-scale analysis result, and a final image is re-constructed by using a multi-scale anisotropic filter. The Contourlet transform-based drawing method is strong in transportability, is suitable for multiple light ray tracing algorithms, and solves the problem that the conventional drawing method causes deformation during boundary filtration.

Description

technical field [0001] The invention relates to a drawing method based on Contourlet transformation, which belongs to the field of computer graphics. Background technique [0002] In the field of computer graphics, over the past few decades, ray tracing-based rendering methods have been mainly divided into two categories: stochastic rendering methods and adaptive rendering methods. The random rendering method can quickly sample the space to be drawn, but does not consider the characteristic distribution of the spatial information, and averagely puts the sampling points and reconstructs the image; the adaptive rendering method uses the spatial characteristics to reasonably sample the space to be drawn and construct a reconstruction filter. Effectively avoid aliasing. [0003] With the continuous deepening of research at home and abroad and the continuous improvement of demand, especially in the field of realistic scene rendering, in order to further improve the quality of im...

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): G06T11/00G06T5/50
Inventor 郑昌文刘晓丹胡晓惠徐帆江
Owner INST OF SOFTWARE - CHINESE ACAD OF SCI
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