View source for 18151653. REMOVING ARTIFACTS USING DITHERING COMPENSATION IN IMAGE STREAMING SYSTEMS AND APPLICATIONS simplified abstract (NVIDIA Corporation)

=REMOVING ARTIFACTS USING DITHERING COMPENSATION IN IMAGE STREAMING SYSTEMS AND APPLICATIONS=


==Organization Name==

[[:Category:NVIDIA Corporation|NVIDIA Corporation]]


[[Category:NVIDIA Corporation]]

==Inventor(s)==

[[:Category:Andrew Russell of Weston FL (US)|Andrew Russell of Weston FL (US)]][[Category:Andrew Russell of Weston FL (US)]]

[[:Category:Prabindh Sundareson of Bangalore (IN)|Prabindh Sundareson of Bangalore (IN)]][[Category:Prabindh Sundareson of Bangalore (IN)]]

==REMOVING ARTIFACTS USING DITHERING COMPENSATION IN IMAGE STREAMING SYSTEMS AND APPLICATIONS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18151653 titled 'REMOVING ARTIFACTS USING DITHERING COMPENSATION IN IMAGE STREAMING SYSTEMS AND APPLICATIONS

==Simplified Explanation==
This patent application describes processing pipelines for removing artifacts from images using multi-pass techniques to identify and process areas with artifacts.

* The image is processed through forward passes to generate multiple levels of images, identifying areas with artifacts and true color edges.
* Backward passes then process color values in artifact areas to determine new color values for the pixels.
* Dithering may be used to distribute errors in quantization and remove artifacts.

==Key Features and Innovation==
* Multi-pass techniques for artifact removal in images.
* Forward passes to identify artifact areas and true color edges.
* Backward passes to determine new color values for pixels in artifact areas.
* Dithering to distribute errors in quantization.

==Potential Applications==
This technology can be used in image editing software, medical imaging, satellite imaging, and quality control in manufacturing.

==Problems Solved==
* Efficient removal of artifacts from images.
* Accurate identification of artifact areas.
* Improved image quality and clarity.

==Benefits==
* Enhanced image quality.
* Reduction of artifacts in images.
* Improved accuracy in identifying and processing artifact areas.

==Commercial Applications==
* Image editing software development.
* Medical imaging equipment.
* Quality control systems in manufacturing.

==Questions about Artifact Removal==
===How does the multi-pass technique improve artifact removal in images?===
The multi-pass technique allows for more accurate identification of artifact areas and true color edges, leading to better processing and removal of artifacts.

===What are the potential applications of this artifact removal technology beyond image editing?===
This technology can be applied in various fields such as medical imaging, satellite imaging, and quality control in manufacturing for improved image quality and accuracy.


==Original Abstract Submitted==

In various examples, processing pipelines for removing artifacts from images are described herein. Systems and methods are disclosed that use one or more multi-pass techniques to identify and process areas in an image that have artifacts. For instance, using a series of forward passes, the image is processed to generate multiple levels of images, where the levels of images are used to identify at least areas of the original image that include artifacts and areas of the original image that include true color edges. Next, using a series of backward passes, processing is performed on color values associated with the areas that include artifacts to determine new color values for the pixels within the areas. In some examples, dithering may then be performed on the new color values to distribute errors in quantization across the pixels and remove the artifacts.



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