Image enhancement system
US-2022335620-A1 · Oct 20, 2022 · US
US11880983B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11880983-B2 |
| Application number | US-202117230875-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 14, 2021 |
| Priority date | Apr 14, 2021 |
| Publication date | Jan 23, 2024 |
| Grant date | Jan 23, 2024 |
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Embodiments of the present disclosure generally relate to livestreaming methods and systems, and more particularly to whiteboard presentation systems that can be used in a livestreaming or video conferencing environment. In some embodiments, the whiteboard presentation system is configured to perform one or more processing operations, such as capture images on a whiteboard, perform image processing routines on the captured images, and transmit processed images as a video feed to one or more remote users, such as people or locations attending a video conference. The image processing routines can include one or more operations such as image denoising, contrast enhancement, color reconstruction, segmentation of a presenter, and image reconstruction.
Opening claim text (preview).
The invention claimed is: 1. A method of processing images, comprising: capturing, by a camera device, a first image of a surface, wherein the first image comprises presentation information that is disposed on at least a portion of the surface, and a portion of a presenter that is disposed between the camera device and the surface; performing a presenter segmentation process, comprising: detecting the portion of the presenter in a second image that is derived from the first image; and generating a presenter mask that is used to define pixels in the first image that are associated with the detected portion of the presenter; performing a canvas reconstruction process, comprising: replacing the pixels in the first image that are associated with the detected portion of the presenter within the presenter mask to form a reconstructed canvas image; performing a presentation information segmentation process, comprising: detecting presentation information in the reconstructed canvas image; and generating a presentation information mask that includes pixels in the reconstructed canvas image that contain portions of the presentation information; performing a background reconstruction process, comprising: applying the generated presentation information mask to the reconstructed canvas image to determine the pixels that contain the portions of the presentation information; and reconstructing the pixels in the reconstructed canvas image that contain the portion of the presentation information to form a canvas background image; and performing a background bleaching process, comprising: removing imperfections in the reconstructed canvas image by dividing the reconstructed canvas image by the canvas background image. 2. The method of claim 1 , wherein the replacing the pixels in the first image that are associated with the detected portion of the presenter further comprises: replacing the pixels with corresponding pixels from a canvas image captured before the first image was captured. 3. The method of claim 1 , wherein reconstructing the pixels in the reconstructed canvas image that contain the portion of the presentation information further comprises: in-painting the pixels in the reconstructed canvas image that contain the portion of the presentation information in the canvas background image. 4. The method of claim 1 , further comprising: correcting perspective distortion of the first image, prior to the presenter segmentation process. 5. The method of claim 1 , wherein the second image is a lower resolution version of the first image. 6. The method of claim 1 , further comprising: performing an image stabilization process subsequent to the background bleaching process, the image stabilization process comprising: compensating for errors in the presentation information segmentation process, the background reconstruction process, and the background bleaching process. 7. The method of claim 6 , wherein the presenter segmentation process is performed at a first resolution level, the canvas reconstruction process, the background bleaching process, and the image stabilization process are performed at a second resolution level that is the same as a resolution of the first image, and the presentation information segmentation process, the background reconstruction process are performed at a third resolution level, the third resolution level being higher than the first resolution level and lower than second resolution level. 8. The method of claim 1 , further comprising performing a start-presentation generation process. 9. A method of delivering presentation information disposed on a surface to an electronic device, comprising: performing, by a controller, a calibration process, comprising: capturing, by a camera device, a first image of a surface; determining corners of the surface in the first image; and determining size and shape of a canvas image having determined corners; and performing, by the controller, a canvas generation process, comprising: capturing, by the camera device, a second image of the surface, wherein the second image comprises presentation information that is disposed on at least a portion of the surface, and a portion of a presenter that is disposed between the camera device and the surface; performing a presenter segmentation process, comprising: detecting the portion of the presenter in a third image that is derived from the second image; and generating a presenter mask that is used to define pixels in the second image that are associated with the detected portion of the presenter; performing a canvas reconstruction process, comprising: replacing the pixels in the second image that are associated with the detected portion of the presenter within the presenter mask to form a reconstructed canvas image; performing a presentation information segmentation process, comprising: detecting presentation information in the reconstructed canvas image; and generating a presentation information mask that includes pixels in the reconstructed canvas image that contain portions of the presentation information; performing a background reconstruction process, comprising: applying the generated presentation information mask to the reconstructed canvas image to determine the pixels that contain the portions of the presentation information; and reconstructing the pixels in the reconstructed canvas image that contain the portion of the presentation information to form a canvas background image; and performing a background bleaching process, comprising: removing imperfections in the reconstructed canvas image by dividing the reconstructed canvas image by the canvas background image. 10. The method of claim 9 , wherein the calibration process further comprises: performing a predefined perspective correction process, comprising: correcting perspective distortion of the first image, the first image having a visible frame; performing a first corner detection process, comprising: detecting a location of a first corner of the surface in the first image; performing a flipping process, comprising: rotating the first image; performing a second corner detection process, comprising: detecting a location of a second corner of the surface in the first image; performing the flipping process, comprising: rotate the first image; performing a third corner detection process, comprising: detecting a location of a third corner of the surface in the first image; performing the flipping process, comprising: rotating the first image of the surface; performing a fourth corner detection process, to detect a location of a fourth corner of the surface in the first image; performing a false detection filtering process, comprising: rejecting any of the detected locations of the first, second, third, and fourth corners of the surface outside of the visible frame; performing a corner post process, comprising: determining size and shape of an initial canvas image; performing a fine turning process, to accurately determine a location of a center of the corners; and performing a corner transformation process, comprising: transform the determined locations of the corners to coordinates of the initial canvas image. 11. The method of claim 9 , wherein the replacing the pixels in the first image that are associated with the detected portion of the presenter further comprises: replacing the pixels with corresponding pixels from a canvas image captured before the first image was captured. 12. The method of claim 9 , wherein reconstructed the pixels in the reconstructed canvas image that contain the portion of t
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