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公开(公告)号:US10009611B2
公开(公告)日:2018-06-26
申请号:US15093741
申请日:2016-04-08
申请人: Synopsys, Inc.
发明人: Alexander Tanchenko
IPC分类号: H04N7/12 , H04N19/154 , H04N19/176 , H04N19/147 , H04N19/103 , H04N19/60
CPC分类号: H04N19/154 , H04N19/103 , H04N19/147 , H04N19/176 , H04N19/60
摘要: A measure of visual quality of processed images relative to unprocessed images is generated in real-time. The measure of visual quality closely correlates with a human's actual perception of the processed image relative to the original image. The measure of visual quality is computed based on a measure of discrepancy (e.g., mean square errors) between the processed and unprocessed images and the variance of each image in the pixel domain or the transform domain may be determined. If the processed image is unavailable, a prediction of the processed image may be used in place of the processed image. The prediction of a processed image may involve predicting the variance values for processed image blocks. The visual quality measure may be used in a feedback loop to improve processing or encoding.
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公开(公告)号:US20160227220A1
公开(公告)日:2016-08-04
申请号:US15093741
申请日:2016-04-08
申请人: Synopsys, Inc.
发明人: Alexander Tanchenko
IPC分类号: H04N19/154 , H04N19/147 , H04N19/176 , H04N19/60
CPC分类号: H04N19/154 , H04N19/103 , H04N19/147 , H04N19/176 , H04N19/60
摘要: A measure of visual quality of processed images relative to unprocessed images is generated in real-time. The measure of visual quality closely correlates with a human's actual perception of the processed image relative to the original image. The measure of visual quality is computed based on a measure of discrepancy (e.g., mean square errors) between the processed and unprocessed images and the variance of each image in the pixel domain or the transform domain may be determined. If the processed image is unavailable, a prediction of the processed image may be used in place of the processed image. The prediction of a processed image may involve predicting the variance values for processed image blocks. The visual quality measure may be used in a feedback loop to improve processing or encoding.
摘要翻译: 处理图像相对于未处理图像的视觉质量的度量是实时生成的。 视觉质量的度量与人类相对于原始图像的实际感知密切相关。 基于处理图像和未处理图像之间的差异度量(例如,均方误差)来计算视觉质量的度量,并且可以确定像素域或变换域中每个图像的方差。 如果处理后的图像不可用,则可以使用经处理的图像的预测来代替处理的图像。 处理图像的预测可以涉及预测经处理的图像块的方差值。 视觉质量测量可用于反馈回路以改进处理或编码。
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