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Patent

Image signal band compressing system for digital video tape recorder

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TLDR
In this paper, an intraframe and an interframe process is defined such that the present frame image data is compressed in a variable length compressing manner by way of two-dimensional discrete coding transform.
Abstract
The image signal band compressing method employs a three-dimensional motion compensating technique, an intraframe and an interframe processes which are alternatively executed. The transfer rate of the intraframe to the interframe is set to 4:1 in a unit of fixed length. The intraframe process is defined such that the present frame image data is compressed in a variable length compressing manner by way of two-dimensional discrete coding transform. The interframe process is defined such that motion data is estimated by comparing the present frame and the preceding frame, the present frame is expected on the basis of the motion data and the difference data between the motion compensated image data and the present frame data.

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References
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Patent

Method and apparatus for encoding/decoding image data

TL;DR: In this article, a plurality of compute modules, in a preferred embodiment, for a total of four compute modules coupled in parallel, are used for processing video data for compression/decompression in realtime.
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Adaptive transform coding using variable block size

TL;DR: In this article, an adaptive transform coding algorithm for a still image utilizes a quadtree based variable block size discrete cosine transform to achieve a better tradeoff between bit rate and image quality.
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Digital image coding using random scanning

TL;DR: In this article, a video signal coder blocks of pixels are generated, scanned in a pseudo-random order, and transformed blocks of coefficients which are stored in a buffer are quantized individually by the use of a quantization level.
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Adaptive transform coding of still images

TL;DR: In this article, an adaptive transform coding algorithm for a still image is proposed, where the image is divided into small blocks of pixels and each block of pixels is transformed using an orthogonal transform such as a discrete cosine transform.
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TL;DR: In this article, a two-dimensional block of image data in a spatial domain is transformed by a transform coder, resulting in a 2D array of activity coefficients in a frequency domain.