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Method of spatial and snr picture compression

An image compression, spatial technology, applied in the field of spatial and SNR image compression, can solve the problem of increasing the number of bits

Inactive Publication Date: 2007-06-20
KONINKLIJKE PHILIPS ELECTRONICS NV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Said bits are therefore better left unused, since many bits are required in the improvement layer for artifact removal, leading to the problem of having a general spatial-SNR compression strategy that can serve different users optimally, in contrast to non-spatial-scalable strategy requires an increase in the number of bits compared to

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  • Method of spatial and snr picture compression
  • Method of spatial and snr picture compression
  • Method of spatial and snr picture compression

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Embodiment Construction

[0086] Fig. 1 schematically shows a typical embodiment of a spatially scalable (also SNR scalable) encoder 100 known from the state of the art (eg WO 03 / 036981). After appropriate image anti-aliasing operations (low-pass filtering, Gaussian blur, etc.) resolution. For example, if the input image signal vi is standard definition (SD) resolution (e.g. 720×576 pixels), then the low resolution signal viL is SIF or CIF resolution (360×288 pixels in PAL, actually 16 can points of 352×288). This low-resolution signal viL is encoded by a low-resolution encoder 102 (encoding elementary data). In this embodiment, the DCT transformed representation cpoLR, FQ is encoded by the first and second quantized stream generator units 130 and 140 into a number of (scalable) streams (c'o and c"o; resolution and quality index degradation). [Note that the term "stream" used in this paper should not be construed in a narrow sense: for simplicity it is assumed that different data are streamed along ...

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Abstract

The versatile method of spatial and SNR scalable picture compression comprises: high resolution encoding (202a) an input picture (vi) yielding high resolution encoded data (coHR,LQ), being the base data; deriving a first down-scaled representative picture (pl) on the basis of the high resolution encoded data (coHR,LQ); deriving a second down-scaled representative picture (p2) on the basis of the input picture (vi); and lower resolution encoding (214) lower resolution quality enhancement data (coMR,MQ), usable for improving the visual quality of a picture reconstructable from the high resolution encoded data (coHR,LQ), on the basis of comparing the first down-scaled representative picture (pl) with the second down-scaled representative picture. This enables good bit-rate distribution for multi-resolution, multi-quality users.

Description

technical field [0001] The invention relates to a method of spatial and SNR image compression. [0002] The invention also relates to a method of spatial and SNR image decoding. [0003] The invention also relates to a corresponding image compression device. [0004] The invention also relates to a corresponding image decompression device. [0005] The invention also relates to a corresponding image data receiver. [0006] The invention also relates to an image display device comprising such an image data receiver. [0007] The invention also relates to an image data recorder comprising such an image compression device. [0008] The invention also relates to software for such compression or decoding methods. Background technique [0009] Various scalability techniques exist in the prior art of video compression. The idea behind scalability is to encode more vision-related data in the basic data set for subsequent transmission, storage, etc., and one or more improved da...

Claims

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Application Information

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IPC IPC(8): H04N7/00H04N7/26H04N19/593
CPCH04N7/26351H04N19/00448H04N19/36
Inventor I·基伦科
Owner KONINKLIJKE PHILIPS ELECTRONICS NV
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