Adaptive Quantization Parameter Reconstruction for Video Coding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current image encoding techniques, such as H.264, face inefficiencies in encoding residual blocks due to fixed quantization parameters and lack of adaptability to coding unit sizes, leading to low encoding efficiency and high bit requirements for transmitting quantization parameters.
Innovation Solution
A method to adaptively reconstruct a quantization parameter based on the size of a coding unit by using a quantization parameter predictor and information from a picture parameter set, allowing for effective encoding and decoding of the quantization parameter to reduce bit transmission needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the quantization parameter is adaptively changed to improve encoding efficiency of texture, then the encoding efficiency is improved, but a large number of bits are required to transmitting the quantization parameter
Solution Approach 1:
The patent applies parameter changes by adapting the quantization parameter based on the size of the coding unit. Different quantization parameters are selected according to whether the coding unit is 8x8, 16x16, or 32x32 pixels, allowing optimal encoding efficiency for each texture region while managing bit requirements through size-based adaptation rather than arbitrary fine-grained adjustments
2Productivity
If the number of intra prediction modes is increased to enhance the encoding efficiency of a residual block, then the encoding efficiency is improved, but the complexity of the encoding process increases
Solution Approach 1:
The patent applies local quality by allowing different coding unit sizes (8x8, 16x16, 32x32) within the same picture, where each local region can be encoded with appropriate intra prediction modes based on its specific characteristics. This enables optimized encoding efficiency for residual blocks in different regions without uniformly increasing complexity across the entire image
Data Source
AI summary
A reconstructed block creating method is provided which includes decoding an intra prediction mode using an intra prediction mode group indicator and a prediction mode index, constructing a prediction block, inversely quantizing a received residual signal using a quantization parameter and adaptively inversely transforming the residual signal using the intra prediction mode to create a residual block, and adding the prediction block and the residual block to create a reconstructed block. The quantization parameter is reconstructed using a minimum quantization CU size, and the minimum quantization CU size is determined by a parameter transmitted from a picture parameter set. Therefore, it is possible to improve image quality by adaptively adjusting a quantization parameter of a current block depending on the size of a coding unit and enhance compression efficiency of an image by effectively encoding/decoding the quantization parameter.