Image Quality Processor Merging Contrast and Sharpness Functions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current display devices require increased hardware processing load to improve both contrast ratio and edge sharpness, leading to higher fabrication costs.
Innovation Solution
An image quality processing method that generates high and low luminance data, converts it into blurred data using a mask, and calculates conversion luminance data based on differences between blurred data sets, reducing hardware processing load while enhancing contrast ratio and edge sharpness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If two separate image quality processors are used to improve contrast ratio and edge sharpness, then both contrast ratio and edge sharpness are improved, but hardware processing load increases
Solution Approach 1:
The patent combines the contrast ratio improvement function and edge sharpness improvement function into a single image quality processor. The processor integrates multiple processing stages (luminance data generation, blur processing, difference calculation) that were previously handled by separate processors, thereby reducing hardware complexity while maintaining both image quality improvements.
Solution Approach 2:
The image quality processor is designed as a multi-functional unit that simultaneously performs contrast ratio enhancement and edge sharpness enhancement. By incorporating various processing modules (luminance data generator, mask operator, conversion luminance data generator) within a single processor, the system achieves universal image quality improvement without requiring multiple dedicated processors.
2Manufacturing precision
If two separate image quality processors are used to improve contrast ratio and edge sharpness, then both contrast ratio and edge sharpness are improved, but fabrication cost increases
Solution Approach 1:
The patent merges the functions of two separate image quality processors into one integrated processor, thereby reducing the number of components that need to be manufactured and assembled. This consolidation directly reduces fabrication costs while maintaining the capability to improve both contrast ratio and edge sharpness through integrated processing stages.
Solution Approach 2:
The single image quality processor is designed to perform multiple functions (contrast ratio improvement and edge sharpness improvement) that previously required separate dedicated processors. This multi-functionality reduces the overall component count and simplifies the manufacturing process, leading to lower fabrication costs while achieving the same image quality enhancement goals.
Data Source
AI summary
This embodiment herein relates to an image quality processing method and a display device using the same which decrease a hardware processing load of the display device and improve both a contrast ratio and sharpness of edges in an image.