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A Monte Carlo Global Illumination Adaptive Method

A Monte Carlo and self-adaptive technology, applied in the field of image processing, can solve the problems of image with noise, multi-time, etc., and achieve the effect of simple method, time reduction and noise reduction

Inactive Publication Date: 2011-12-21
TIANJIN UNIV
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Problems solved by technology

However, the image generated based on the Monte Carlo global illumination adaptive method is often noisy.
Although it is possible to obtain a visually acceptable image by taking more sampling points in the pixel to reduce noise, but due to the slow convergence of the Monte Carlo global illumination adaptive method itself, drawing an image is often difficult. need more time

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  • A Monte Carlo Global Illumination Adaptive Method
  • A Monte Carlo Global Illumination Adaptive Method
  • A Monte Carlo Global Illumination Adaptive Method

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Embodiment Construction

[0022] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0023] In order to reduce the time required for drawing an image, an embodiment of the present invention provides a Monte Carlo overall illumination adaptive method, see Figure 1, see the following description for details:

[0024] In those complex areas where the sampled values ​​vary significantly, more sampling points need to be taken. For example, shadowed borders and caustics require more samples than uniformly lit areas. Then adaptive sampling is that each pixel is first sampled at a low density, and then based on the size of the returned sample value, it is determined whether to increase the sampling point in each pixel. In this way, it is avoided to carry out the same number of samples in each pixel, and some sampling points a...

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Abstract

The invention discloses a Monte Carlo overall illumination self-adaptive method, which relates to the field of image processing, and obtains the whole pixel quality QT defined by Tsallis entropy; randomly takes a first threshold sampling point in each pixel, and according to the first Threshold sample point and described whole pixel quality QT preliminarily evaluate the quality of pixel, obtain the pixel quality of each pixel; Judge whether the pixel quality of described each pixel is greater than the second threshold, if yes, for each Pixels are sampled to obtain the sampled image; if not, increase the quantity of the first threshold sampling points according to the preset criteria, reacquire the pixel quality of each pixel, the present invention utilizes Tsallis entropy to carry out pixel self-automation Adapt to sampling, choose the suitable parameter of this entropy, the method that the present invention provides is simple and easy, compares with Shannon entropy, the noise of image can reduce greatly, obtains a visually acceptable image, has reduced drawing image time needed.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a Monte Carlo overall illumination self-adaptive method. Background technique [0002] When rendering scenes with complex reflection models, Monte Carlo based global lighting adaptation methods are usually the optimal choice. But the image generated based on the Monte Carlo global illumination adaptive method is often noisy. Although it is possible to obtain a visually acceptable image by taking more sampling points in the pixel to reduce noise, but due to the slow convergence of the Monte Carlo global illumination adaptive method itself, drawing an image is often difficult. Need more time. Contents of the invention [0003] In order to reduce the time required for drawing images, the present invention provides a Monte Carlo overall illumination adaptive method, as described below for details: [0004] A Monte Carlo overall illumination adaptive method, said method comprising...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T15/50
Inventor 徐庆李秀
Owner TIANJIN UNIV
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