Image Decoding Sign Prediction for Complexity-Aware Coding

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Solution Overview

Problem

The increasing demand for high-resolution and high-quality video/images, including immersive media, leads to higher transmission and storage costs due to increased data volume, necessitating improved video/image coding efficiency.

Innovation Solution

An image decoding method and device that adaptively derive the number of prediction signs for sign prediction, enhancing coding efficiency by reducing complexity and improving accuracy through separate signaling of syntax elements for different block types and slices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If sign prediction is performed on all residual coefficients, then coding accuracy is improved, but computational complexity increases

Engineering Contradiction:
Improvecoding accuracyVSAvoidcomputational complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies different sign prediction strategies to different regions of the transform block. Specifically, it performs sign prediction on residual coefficients within a defined sign prediction area (typically the top-left region) while skipping coefficients outside this area. This local differentiation allows the system to focus computational resources on regions where sign prediction provides the most benefit, thereby improving coding accuracy in critical areas while limiting overall computational complexity.

Inventive Principle:
Principle #3Local quality

2Measurement precision

If the number of prediction signs is increased, then sign prediction accuracy is improved, but processing complexity increases

Engineering Contradiction:
Improvesign prediction accuracyVSAvoidprocessing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent performs sign prediction on only a subset of residual coefficients rather than all coefficients. By limiting sign prediction to a specific number of coefficients (numPredSigns) within the sign prediction area, the system achieves partial action that balances accuracy improvement with complexity control. This selective approach provides sufficient prediction accuracy for the most significant coefficients while avoiding the excessive complexity of processing all coefficients.

Inventive Principle:
Principle #16Partial or excessive action

3Measurement precision

If high-resolution and high-quality video/images are transmitted, then image quality is improved, but transmission and storage costs increase

Engineering Contradiction:
Improveimage qualityVSAvoidtransmission and storage costs
Core Design Contradiction:
Measurement precisionVSLoss of energy

Solution Approach 1:

The patent modifies the sign prediction parameters (such as the sign prediction area size and the number of prediction signs) based on block characteristics and video content properties. By dynamically adjusting these parameters, the system optimizes the balance between compression efficiency and image quality, achieving high-quality reconstruction with reduced bitrates and lower transmission/storage costs.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20250220238A1Image decoding method and device
Publication Date: 2025.07.03 LG ELECTRONICS INC
  • US20250220238A1 patent drawing
  • US20250220238A1 patent drawing
  • US20250220238A1 patent drawing

AI summary

An image decoding method performed by a decoding device according to the present disclosure comprises the steps of: deriving a predicted number of signs of a current block; performing sign prediction of the current block to derive as many signs of residual coefficients as the predicted number of signs; deriving residual samples of the current block on the basis of the signs; and generating a reconstructed picture on the basis of the residual samples.