Cross-Component Intra Prediction for High-Efficiency Image Coding
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Solution Overview
Problem
High-resolution and high-quality image data requires high-efficiency encoding/decoding techniques to reduce the increased costs of transmission and storage due to larger data volumes.
Innovation Solution
An image decoding method that predicts a second color component block using a first color component block, with parameters derived from the first block, and an encoding apparatus that performs intra prediction to enhance compression efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-resolution and high-quality image data is used, then image quality is improved, but data volume increases leading to higher transmission and storage costs
Solution Approach 1:
The image is divided into smaller blocks (e.g., 8x8, 16x16 pixels) called coding blocks, which are processed independently through quantization and encoding. This segmentation allows efficient compression while preserving quality by applying transform and quantization operations to each block, reducing overall data volume without significant quality loss
Solution Approach 2:
The patent applies transform operations (such as discrete cosine transform) and quantization parameters to convert spatial frequency domain coefficients into a compressed representation. By adjusting quantization parameters and transform types, the system optimizes the balance between compression ratio and image quality, reducing data volume while maintaining acceptable quality levels
2Productivity
If conventional image encoding is used, then processing simplicity is maintained, but compression efficiency is insufficient for high-resolution images
Solution Approach 1:
The encoding process performs preliminary actions by first dividing the image into blocks, then applying transform operations to convert spatial frequencies to frequency domain representations before quantization. This preliminary transformation prepares the data for efficient compression by concentrating energy in fewer coefficients, enabling high compression efficiency through systematic preprocessing steps
Solution Approach 2:
The patent implements a continuous encoding pipeline where blocks are processed sequentially through transformation, quantization, and entropy encoding operations. This continuous processing of image data through multiple stages ensures high compression efficiency by systematically reducing data volume at each step while managing computational complexity through standardized operations
Data Source
AI summary
An image encoding/decoding method and apparatus for predicting a second color component block using a first color component block are provided. An image decoding method of the present invention comprises deriving a prediction parameter using the first color component block, and predicting the second color component block using the derived prediction parameter.


