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Distortion optimization quantization circuit for AVS3
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A circuit, rate-distortion cost technology, applied in the field of coding circuits
Pending Publication Date: 2021-10-08
杭州博雅鸿图视频技术有限公司
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[0003] In order to solve the technical problem that the existing technology cannot meet the real-time requirements of 4k30 frames under the condition of reasonable circuit area
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Embodiment 1
[0037] like figure 2 Shown:
[0038] This disclosure provides a distortion-optimized quantization circuit for AVS3, which is applied to small-size transform blocks of 16x16 and below, including:
[0039] A register for storing all transform coefficients of the transform block and their corresponding zigzag scan coordinates;
[0040] A distortion optimization quantization circuit composed of a pre-quantization unit, a decision-making optimal coefficient unit, a decision-making last non-zero coefficient position unit and a zeroing unit.
[0041] Further, the pre-quantization unit is specifically used to perform standard quantization in advance.
[0042] Further, the decision-making optimal coefficient unit is specifically configured to make an optimal coefficient adjustment decision on the data quantized by the pre-quantization unit.
[0043] Further, the final non-zero coefficient position unit of the decision-making is specifically used to conditionally judge each coeffici...
Embodiment 2
[0050] like image 3 Shown:
[0051] The present disclosure also provides a distortion-optimized quantization circuit for AVS3, which is applied to a large-size transform block with a size above 16x16, including:
[0052] SRAM, used to store all transform coefficients of the transform block;
[0053] A distortion optimization quantization circuit composed of a pre-quantization unit, a decision-making optimal coefficient unit, a decision-making last non-zero coefficient position unit and a zeroing unit.
[0054] Further, the pre-quantization unit is specifically used to perform standard quantization in advance.
[0055] Further, the decision-making optimal coefficient unit is specifically configured to make an optimal coefficient adjustment decision on the data quantized by the pre-quantization unit.
[0056]Further, the final non-zero coefficient position unit of the decision-making is specifically used to conditionally judge each coefficient in the scanning area; for the c...
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Abstract
The invention relates to a distortion optimization quantization circuit for AVS3, which is applied to a small-size transformation block with the size of 16 * 16 and below. The circuit comprises a register used for storing all transformation coefficients of the transformation block and corresponding Z-shaped scanning coordinates; and a distortion optimization quantization circuit which consists of a pre-quantization unit, an optimal coefficient decision unit, a final non-zero coefficient position decision unit and a zero setting unit. The invention also relates to a distortion optimization quantization circuit for AVS3, which is applied to a large-size transformation block with the size of more than 16 * 16. The circuit comprises an SRAM used for storing all transformation coefficients of the transformation block; and the distortion optimization quantization circuit which consists of a pre-quantization unit, an optimal coefficient decision unit, a final non-zero coefficient position decision unit and a zero setting unit.
Description
technical field [0001] The present disclosure relates to the technical field of encoding circuits, and more specifically, the present disclosure relates to a distortion-optimized quantization circuit for AVS3. Background technique [0002] Rate-distortion optimization quantization (RDOQ) is a very important technology in the AVS3 video coding standard. This technology combines rate-distortion optimization (RDO) and ordinary scalar quantization technology in video coding to obtain better quantization results. Thereby improving the overall encoding performance. However, due to RDOQ's natural strong data dependence, it is difficult for this module to meet timing requirements in hardware design. In addition, the new-generation coding standard AVS3 introduces a larger transform block size, which supports RDOQ operations of 4x4 to 64x64 sizes. How to realize RDOQ operations of all sizes while ensuring a reasonable circuit area is also a big problem in hardware design. difficulty...
Claims
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