Function-Based Intra Prediction for Image Compression
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Solution Overview
Problem
Existing image encoding/decoding technologies face challenges in achieving high compression efficiency, particularly for high-resolution and high-quality images, which results in increased transmission and storage costs.
Innovation Solution
The proposed method involves an image decoding technique that decodes a prediction mode index, determines if it indicates function-based intra-prediction, derives parameters for generating a function, generates the function, and performs intra-prediction using this function.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-resolution and high-quality image data is transmitted or stored using existing techniques, then image quality is maintained, but transmission cost and storage cost increase
Solution Approach 1:
The patent changes the parameter of prediction mode representation from traditional methods to function-based representation. By representing prediction modes using mathematical functions with parameters (such as polynomial coefficients), the system achieves more efficient compression while maintaining high-quality image reconstruction, directly addressing the contradiction between image quality and data amount
Solution Approach 2:
The patent replaces traditional mechanical/table-based prediction methods with function-based mathematical models. Instead of using lookup tables or fixed prediction algorithms, the system uses parametric functions to represent prediction modes, enabling more compact representation and reduced data transmission/storage requirements while preserving image quality
2Productivity
If function-based intra-prediction is performed, then compression efficiency is improved, but device complexity increases
Solution Approach 1:
The patent segments the complex prediction process into distinct stages: function selection, parameter derivation, and prediction execution. By dividing the function-based intra-prediction process into manageable segments with clear interfaces, the system improves compression efficiency while making the complexity more controllable and organized
Solution Approach 2:
The patent implements self-service mechanisms where the system automatically selects appropriate functions and derives parameters based on local image characteristics without requiring extensive external control. This automation reduces the operational complexity despite the advanced mathematical operations involved, thereby improving compression efficiency while keeping device complexity manageable
Data Source
AI summary
The present invention relates to an image encoding/decoding method and device. The image decoding method according to the present invention comprises the steps of: decoding a prediction mode index; determining whether the prediction mode index indicates function-based intra prediction; inducing a parameter(s) for generating a function, when the prediction mode index indicates the function-based intra prediction; generating the function on the basis of the induced parameter(s); and performing intra prediction by using the generated function.


