Add to ORKGgrantor: University of TorontoThis thesis deals with noise filtering and generation for signal-dependent film grain noise that is present in photographic images. For noise filtering, two new filters are proposed. The first filter is based on minimizing a higher-order statistics (H.O.S.) based criterion that is an extension of the second-order statistics based criterion. Another filtering approach is to combine a new local-statistics based technique with the generalized homomorphic transformation. The filter mask is adaptive to signal activities and can be extended to handle color image. Simulation results show that these new filters perform better than existing ones. Finally, for noise generation, which has applications in televis...
This dissertation focuses on the modeling of dust noise on ordinary images and formulating enhanceme...
In this paper, an automatic estimation of additive white Gaussian noise technique is proposed.This t...
remove high density Salt and Pepper noise is presented. The algorithm detects the pixel corrupted by...
grantor: University of TorontoThis thesis deals with noise filtering and generation for si...
In this paper, we propose new techniques for film grain noise removal and synthesis, which can be ap...
Abstract: Real world signals usually contain departures from the ideal signal that would be produced...
Systems introduce noise into images. Spatial Filtering is required to reduce or eliminate the noise ...
The goal of this work is to study and implement most frequently used algorithms for noise filtering....
The goal of this work is to study and implement most frequently used algorithms for noise filtering....
Abstract—A technique for film grain noise extraction, modeling and synthesis is studied and applied ...
Generating 2D noise with local, space-varying spectral characteristics is vital where random noise f...
When an image is acquired by a camera or other imaging system, often the vision system for which it ...
The presence of film grain often imposes the crucial quality choice between film enlargement and spe...
Although various solutions are available for de-noising them, a detail study of the research is requ...
QC 351 A7 no. 85A technique is described for suppressing unwanted grain noise in scanned and digitiz...
This dissertation focuses on the modeling of dust noise on ordinary images and formulating enhanceme...
In this paper, an automatic estimation of additive white Gaussian noise technique is proposed.This t...
remove high density Salt and Pepper noise is presented. The algorithm detects the pixel corrupted by...
grantor: University of TorontoThis thesis deals with noise filtering and generation for si...
In this paper, we propose new techniques for film grain noise removal and synthesis, which can be ap...
Abstract: Real world signals usually contain departures from the ideal signal that would be produced...
Systems introduce noise into images. Spatial Filtering is required to reduce or eliminate the noise ...
The goal of this work is to study and implement most frequently used algorithms for noise filtering....
The goal of this work is to study and implement most frequently used algorithms for noise filtering....
Abstract—A technique for film grain noise extraction, modeling and synthesis is studied and applied ...
Generating 2D noise with local, space-varying spectral characteristics is vital where random noise f...
When an image is acquired by a camera or other imaging system, often the vision system for which it ...
The presence of film grain often imposes the crucial quality choice between film enlargement and spe...
Although various solutions are available for de-noising them, a detail study of the research is requ...
QC 351 A7 no. 85A technique is described for suppressing unwanted grain noise in scanned and digitiz...
This dissertation focuses on the modeling of dust noise on ordinary images and formulating enhanceme...
In this paper, an automatic estimation of additive white Gaussian noise technique is proposed.This t...
remove high density Salt and Pepper noise is presented. The algorithm detects the pixel corrupted by...