<p>By applying the noise reduction during the initial iterations, the objectionable noise at the startup of the MC algorithm is reduced to a great extent, at the expense of slightly increased blurring during the initial iterations. The influence of noise filtering, and thus the amount of blurring, reduces based on the error in the running estimate.</p
Morphological openings and closings are useful for the smoothing of grayscale images. However, their...
An algorithm of the color image noise removal algorithm is put forward based on the pixel operations...
[[abstract]]To perform well, an image noise reduction method should be built upon an effective noise...
Includes bibliographical references (pages 52-53)The main goal of this project is to design a filter...
Imperfections in data can arise from many sources. The qual-ity of the data is of prime concern to a...
When an image is acquired by a camera or other imaging system, often the vision system for which it ...
Figure 1: We propose a machine learning approach to filter Monte Carlo rendering noise as a post-pro...
Monte Carlo (MC) rendering systems can produce spectacular images but are plagued with noise at low ...
[[abstract]]In this paper, a quantitative evaluation of some noise reduction methods is presented. I...
AbstractThe median filtering algorithm has good noise-reducing effects, but its time complexity is n...
Monte Carlo (MC) rendering systems can produce spectacular images but are plagued with noise at low ...
Visual recognition of the Structure of an object is impaired by noise that is spectrally adjacent to...
Abstract: Real world signals usually contain departures from the ideal signal that would be produced...
The transmission of information usually results in the corruption of the desired signal by noise in ...
We propose a novel pre-filtering method that reduces the noise introduced by depth-of-field and moti...
Morphological openings and closings are useful for the smoothing of grayscale images. However, their...
An algorithm of the color image noise removal algorithm is put forward based on the pixel operations...
[[abstract]]To perform well, an image noise reduction method should be built upon an effective noise...
Includes bibliographical references (pages 52-53)The main goal of this project is to design a filter...
Imperfections in data can arise from many sources. The qual-ity of the data is of prime concern to a...
When an image is acquired by a camera or other imaging system, often the vision system for which it ...
Figure 1: We propose a machine learning approach to filter Monte Carlo rendering noise as a post-pro...
Monte Carlo (MC) rendering systems can produce spectacular images but are plagued with noise at low ...
[[abstract]]In this paper, a quantitative evaluation of some noise reduction methods is presented. I...
AbstractThe median filtering algorithm has good noise-reducing effects, but its time complexity is n...
Monte Carlo (MC) rendering systems can produce spectacular images but are plagued with noise at low ...
Visual recognition of the Structure of an object is impaired by noise that is spectrally adjacent to...
Abstract: Real world signals usually contain departures from the ideal signal that would be produced...
The transmission of information usually results in the corruption of the desired signal by noise in ...
We propose a novel pre-filtering method that reduces the noise introduced by depth-of-field and moti...
Morphological openings and closings are useful for the smoothing of grayscale images. However, their...
An algorithm of the color image noise removal algorithm is put forward based on the pixel operations...
[[abstract]]To perform well, an image noise reduction method should be built upon an effective noise...