Adaptive Image Compression via Characteristic-Based Quantization
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Solution Overview
Problem
Traditional image compression methods, such as JPEG, face inefficiencies in maximizing compression ratio while maintaining visible image quality, as they lack adaptive quantization based on image characteristics, leading to slow compression speeds and suboptimal results.
Innovation Solution
An adaptive image compression system that determines image characteristics, calculates a quantization scale factor, generates an adaptive quantization table, and encodes the image using this table, allowing for one-step compression that considers image complexity and quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If iterative compression is used to determine optimal compression ratio, then image quality maintenance is improved, but compression speed deteriorates
Solution Approach 1:
The patent calculates image characteristics (complexity, texture, edge information) and determines the optimal quantization scale factor before compression begins. This preliminary analysis allows the system to skip iterative compression and directly apply the optimal parameters, achieving both high image quality maintenance and fast compression speed.
2Device complexity
If fixed quantization scale is used for compression, then compression process simplicity is improved, but compression ratio optimization deteriorates
Solution Approach 1:
The patent dynamically adjusts the quantization scale factor based on calculated image characteristics. Instead of using a fixed quantization scale, the system adapts the scale factor to match the specific properties of each image (complexity, texture, edge density), thereby optimizing compression ratio while maintaining manageable process complexity through automated parameter selection.
3Quantity of substance
If high compression ratio is pursued through increased quantization scale, then data size reduction is improved, but visible image quality deteriorates
Solution Approach 1:
The patent changes the quantization scale factor parameter based on image characteristics to achieve the optimal balance between compression ratio and image quality. By analyzing image complexity and texture properties, the system selects a quantization scale that maximizes data reduction while keeping visual quality degradation within acceptable thresholds, rather than using a fixed high compression approach.
Data Source
AI summary
Provided are an adaptive image compression system and method. The adaptive image compression method includes a step of determining, at an adaptive image compression system, characteristics of an image that is to be compressed, a step of determining, at the adaptive image compression system, a quantization scale factor based on the characteristics of the image that is to be compressed, a step of generating an adaptive quantization table corresponding to the image that is to be compressed based on the determined quantization scale factor, and a step of encoding the image that is to be compressed using the generated adaptive quantization table.