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公开(公告)号:US11176649B1
公开(公告)日:2021-11-16
申请号:US15613155
申请日:2017-06-03
Applicant: Interra Systems, Inc.
Inventor: Alok Kumar , Bhupender Kumar , Paras Garg
Abstract: A system and method for identifying presence of digital ghosting artifacts in videos is disclosed. The method comprises estimating a blending parameter (α) for a current image using a previous image and a next image of a digital video stream. Successively, a blended image (B) is created by mixing contents of the previous image and the next image based on the estimated blending parameter (α). Thereafter, a first similarity is computed between the blended image (B) and a de-interlaced image (C), based on a Normalized Cross Correlation (NCC) between multiple blocks of the blended image (B) and the de-interlaced image (C). Successively, a second similarity is computed between the blended image (B) and the de-interlaced image (C), based on values of standard deviation of an absolute difference frame determined between the blended image (B) and the de-interlaced image (C). The de-interlaced image (C) is finally identified to comprise digital ghosting artifact based on values of the first similarity and the second similarity.
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公开(公告)号:US10664717B2
公开(公告)日:2020-05-26
申请号:US16011609
申请日:2018-06-18
Applicant: Interra Systems, Inc.
Inventor: Paras Garg , Rishi Gupta , Shekhar Madnani , Bhupender Kumar
Abstract: A system and a method for searching an image within another image are disclosed. The method includes producing template edge images and target edge images, having image scales, based on determination of edge gradients of a template image and a target image in one or more directions. The template image indicates an image to be searched. The target image indicates another image within which the image needs to be searched. Further, images comprising correlation coefficient values are produced for each of the directions by computing correlation coefficients between the template edge images and the target edge images. At least one local peak is identified from each of the images comprising the correlation coefficient values. Spatial locations along with the correlation coefficients corresponding to the local peak are determined. Thereafter, a presence of the template image in the target image is identified based upon an intersection of the spatial locations.
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公开(公告)号:US20190384999A1
公开(公告)日:2019-12-19
申请号:US16011609
申请日:2018-06-18
Applicant: Interra Systems, Inc.
Inventor: Paras Garg , Rishi Gupta , Shekhar Madnani , Bhupender Kumar
Abstract: A system and a method for searching an image within another image are disclosed. The method includes producing template edge images and target edge images, having image scales, based on determination of edge gradients of a template image and a target image in one or more directions. The template image indicates an image to be searched. The target image indicates another image within which the image needs to be searched. Further, images comprising correlation coefficient values are produced for each of the directions by computing correlation coefficients between the template edge images and the target edge images. At least one local peak is identified from each of the images comprising the correlation coefficient values. Spatial locations along with the correlation coefficients corresponding to the local peak are determined. Thereafter, a presence of the template image in the target image is identified based upon an intersection of the spatial locations.
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