Image Coding With Variable MIP Flags for Intra Prediction
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images/videos, including immersive media, necessitates a highly efficient image/video compression technique to reduce transmission and storage costs.
Innovation Solution
An image coding method utilizing matrix-based and IPS-based intra prediction techniques, including deriving intra prediction modes for target blocks based on variable MIP flags, to enhance compression efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution and high-quality image/video data is transmitted or stored, then image quality and resolution are improved, but transmission cost and storage cost increase
Solution Approach 1:
The patent applies parameter changes by transforming image data from the spatial domain to the frequency domain through transform operations (e.g., DCT, DST). This allows the image data to be represented in a different parameter space where compression can be more effectively applied, reducing the bit amount while maintaining quality.
Solution Approach 2:
The patent extracts and removes redundant information from the image data through quantization and selective coding. By identifying and eliminating unnecessary details that do not contribute significantly to perceived image quality, the system reduces the transmission and storage requirements.
2Measurement precision
If high-resolution and high-quality image/video data is transmitted or stored, then image quality and resolution are improved, but transmission cost and storage cost increase
Solution Approach 1:
The patent transforms image data into frequency domain parameters through various transform operations, enabling more efficient storage by exploiting the different characteristics of the transformed data and applying compression techniques that work more effectively in this parameter space.
Solution Approach 2:
The system extracts and removes redundant information through quantization processes, selectively retaining only the most significant components of the image data that contribute to its perceived quality, thereby reducing storage requirements.
3Productivity
If conventional intra prediction method is used, then coding process is simple, but compression efficiency is insufficient
Solution Approach 1:
The patent segments the coding process into distinct functional stages: transform operation, quantization, and inverse transform. This segmentation allows each stage to be optimized independently, improving overall compression efficiency while maintaining manageable complexity through modular processing.
Solution Approach 2:
The patent implements dynamic adaptation in the prediction and coding process, allowing the system to adjust parameters and operations based on the specific characteristics of the input image data, thereby optimizing compression efficiency for different content types while managing complexity through adaptive rather than fixed processing.
Data Source
AI summary
An image decoding method according to the present document comprises the steps of: receiving an intra-MIP syntax element for a first target block; deriving the value of the intra-MIP syntax element; setting a variable MIP flag for the preset specific area, which is the same as the area of the first target block, on the basis of the value of the intra-MIP syntax element; deriving an intra-prediction mode of the second target block on the basis of the variable MIP flag; and deriving a prediction sample of the second target block on the basis of the intra-prediction mode of the second target block.