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Patent

Noise reduction in frame transmitted video signals

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TLDR
In this article, the mean absolute difference between each block in the reference frame and identically located blocks in adjacent frames is calculated by making a search for a block in adjacent frame that matches the block in reference frame.
Abstract
A method for reducing noise in a reference frame of video information by determining the mean absolute difference, MAD o , between each block in the reference frame and identically located blocks in adjacent frames. If MAD o is A, a search is made for a block in the adjacent frame that matches the block in the reference frame. This is labelled MAD min . If MAD o for the block in the adjacent frame is <BMAD min , the matching block is not used in the average. If MAD o is not <BMAD min , the matching block can be used in the average, but preferably this is not done if MAD min exceeds a value C. The values of A, B and C are determined by experience for the block size used.

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References
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Patent

Method for the determination of motion vector fields from digital image sequences

TL;DR: In this paper, a method for the determination of motion vector fields from digital image sequences derives a motion vector field from two successive image frames, with the relation is defined by a motion vectors which reproduces the displacement of the picture elements relative to one another and whereby all picture elements in a square or rectangular block of picture elements receive the same motion vector.
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TL;DR: In this article, the authors proposed a high efficiency apparatus for coding digital video data in which the number of bits per picture element in the video data such as a digital video signal or the like is compressed.
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TL;DR: In this article, an approach for detecting movement of a television picture using a movement vector integrates an absolute value of a frame difference between a current frame and a previous frame for every one of a plurality of regions which are formed by dividing a picture of one field and by detecting movement vectors using frame difference integration data for every said plurality.
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TL;DR: In this paper, a motion estimation for a picture element (pixel) (P1) of a television picture (TP) is performed at pixel level by comparison of the picture signal value of the pixel (P 1) with that of a corresponding pixel(P 1′) in a previous and/or subsequent television picture and with a plurality of surrounding pixels (P2, P3′, P4′,P5′), in said picture.
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