Image Decoding Block Partitioning for Chroma Efficiency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing demand for high-resolution and high-quality images, such as HD and UHD, leads to a significant increase in image data, resulting in higher transmission and storage costs. There is a need for a highly efficient image compression technique to effectively transmit, store, and reproduce such high-resolution images.
Innovation Solution
A video decoding method and apparatus that improves image coding efficiency by effectively performing image partitioning. The method determines whether a current block is partitioned based on its size and encodes either the current block or its sub-blocks accordingly. When the block is partitioned, it is divided into sub-blocks based on partitioning information, and when it is not partitioned, it is decoded as a whole. This approach is particularly effective for chroma blocks with sizes less than or equal to a minimum chroma block size.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If image data is transmitted using conventional broadband lines or stored using existing storage media, then high-resolution and high-quality images can be transmitted and stored, but transmission cost and storage cost increase significantly
Solution Approach 1:
The image is divided into multiple blocks that can be processed and transmitted separately. Each block is independently coded and can be reconstructed in sequence, allowing for efficient compression and reduced transmission/storage requirements while maintaining overall image quality.
Solution Approach 2:
The patent transforms image data from spatial domain to frequency domain using transform coding (e.g., DCT). This parameter transformation allows energy compaction where most important information concentrates in fewer coefficients, enabling aggressive compression with minimal quality loss.
2Quantity of substance
If image data is compressed using conventional techniques, then transmission and storage costs are reduced, but compression efficiency is insufficient for high-resolution images
Solution Approach 1:
The image is divided into multiple blocks that can be processed and transmitted separately. Each block is independently coded and can be reconstructed in sequence, allowing for efficient compression and reduced transmission/storage requirements while maintaining overall image quality.
Solution Approach 2:
The patent transforms image data from spatial domain to frequency domain using transform coding (e.g., DCT). This parameter transformation allows energy compaction where most important information concentrates in fewer coefficients, enabling aggressive compression with minimal quality loss.
3Manufacturing precision
If block partitioning is applied to all blocks regardless of size, then compression efficiency is improved, but processing complexity and data throughput increase
Solution Approach 1:
Different processing strategies are applied to different regions of the image based on local characteristics. Small chroma blocks (≤ minimum chroma block size) are excluded from partitioning while larger blocks and luma blocks receive full partitioning treatment, optimizing compression efficiency while reducing unnecessary processing complexity in regions where it provides minimal benefit.
4Manufacturing precision
If block partitioning is applied to all blocks regardless of size, then compression efficiency is improved, but encoding and decoding processing rates increase
Solution Approach 1:
Different processing strategies are applied to different regions of the image based on local characteristics. Small chroma blocks (≤ minimum chroma block size) are excluded from partitioning while larger blocks and luma blocks receive full partitioning treatment, optimizing compression efficiency while reducing unnecessary processing complexity in regions where it provides minimal benefit.
Data Source
AI summary
The method for decoding an image by a decoding device according to the present document may comprise the steps of: acquiring image information comprising partitioning information for a current block; determining, on the basis of the size of the current block, whether to partition the current block; partitioning the current block into subblocks on the basis of the partitioning information, if it is determined that the current block is to be partitioned, and decoding the subblocks; and not partitioning the current block, if it is determined that the current block is not to be partitioned, and decoding the current block, wherein, if the current block is a chroma block, and the size of the current block is at most the minimum size of a chroma block, then it is determined that the current block is not to be partitioned.