Inverse quantization inverse transformation method and device, and HEVC decoding method and device

A decoding device and inverse transformation technology, applied in the field of video encoding and decoding, can solve problems such as poor scalability, large system resource consumption, and large power consumption, and achieve the effects of reducing decoding power consumption, balancing scalability, and improving decoding efficiency

Active Publication Date: 2016-09-21
ALLWINNER TECH CO LTD
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  • Claims
  • Application Information

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Problems solved by technology

It overcomes the defects of high consumption of system resources, unsmooth decoding, large power consumption, etc. and the high cost and poor scalability of hardware-specific decoding modules in embedded systems.

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  • Inverse quantization inverse transformation method and device, and HEVC decoding method and device
  • Inverse quantization inverse transformation method and device, and HEVC decoding method and device
  • Inverse quantization inverse transformation method and device, and HEVC decoding method and device

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Embodiment Construction

[0046] The preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0047] figure 1 It is a flow chart of the HEVC decoding method 100 according to an embodiment of the present invention, including stream processing entropy decoding 102, motion compensation 104, intra prediction 106, inverse quantization and inverse transform 108, reconstruction 110, deblocking filtering 112, and adaptive samples Compensation 114.

[0048] The specific process of the HEVC decoding method: stream processing entropy decoding 102 receives the input code stream of the current frame and performs stream processing entropy decoding operations; motion compensation 104 receives the data used for motion compensation operations and the decoded data in the output of stream processing entropy decoding 102 Output image, after motion compensation operation, output the inter-frame prediction image of the current frame, intra-frame prediction 106 ...

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Abstract

The invention relates to an inverse quantization inverse transformation method. The method comprises the steps of: obtaining all frequency domain image residual error information blocks of a current frame; combining a plurality of frequency domain image residual error information blocks whose width is smaller than a first value and height is smaller than a second value into a frequency domain image residual error information large block, wherein the first value and the second value are corresponding to performance parameters of a CPU; and receiving the frequency domain image residual error information large block and the frequency domain image residual error information blocks whose width is no less than the first value and / or height is no less than the second value by the CPU, and carrying out inverse quantization inverse transformation calculation. The invention further provides an HEVC decoding method using the inverse quantization inverse transformation method, and provides the HEVC decoding scheme more balanced in performance, power consumption, cost and expansibility for an embedded system besides pure CPU soft decoding and a hardware special decoding module. The invention also provides an inverse quantization inverse transformation and an HEVC decoding device using the inverse quantization inverse transformation device.

Description

Technical field [0001] The present invention relates to the field of video coding and decoding, in particular to an inverse quantization and inverse transformation method and device, and an HEVC decoding method and device. Background technique [0002] HEVC is a new generation of video compression technology, which further improves the compression rate on the basis of inheriting many advantages of H.264. For high-definition video, the compression rate of HEVC is increased by 30-50% compared with H.264 under the condition of unchanged coding quality, which greatly reduces the consumption of storage space and transmission bandwidth. However, the increase in compression rate comes at the cost of increased complexity. [0003] For embedded systems, there are currently two mainstream HEVC decoding methods: pure CPU soft decoding (including NEON acceleration) and hardware dedicated module decoding. [0004] Pure CPU soft decoding consumes a lot of system resources, especially CPU resourc...

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Application Information

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IPC IPC(8): H04N19/61H04N19/13H04N19/124H04N19/86
CPCH04N19/124H04N19/13H04N19/61H04N19/86
Inventor高峰
OwnerALLWINNER TECH CO LTD