Gradient Detection for Simultaneous Contrast Enhancement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing display technologies face a trade-off between enhancing perceived contrast and reducing power consumption, with most methods either increasing power usage for better image quality or reducing quality for lower power consumption.
Innovation Solution
A computer-implemented method that receives an input image, performs gradient detection to determine outlines, and enhances perceived contrast based on these outlines, utilizing techniques such as simultaneous contrast and the Bartleson-Breneman effect to improve picture quality while maintaining or reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If image enhancement techniques are applied to improve picture quality and perceived contrast, then image quality is improved, but power consumption increases
Solution Approach 1:
The patent segments the image processing into selective gradient detection and outline-based enhancement, applying processing only to specific regions (edges and outlines) rather than the entire image. This selective approach reduces the computational load and power consumption while maintaining picture quality improvement in critical areas.
Solution Approach 2:
The patent applies enhancement techniques locally to identified outlines and edges rather than uniformly across the entire image. By concentrating processing power on boundary regions where contrast enhancement has the most visual impact, the system achieves picture quality improvement with minimized power consumption.
2Use of energy by moving object
If backlight is reduced to save power, then power consumption decreases, but visual appeal and picture quality deteriorate
Solution Approach 1:
The patent uses gradient detection and outline enhancement to modify the luminance and contrast characteristics of image regions. By enhancing edges and boundaries through gradient-based processing, the system compensates for reduced backlight intensity, maintaining visual appeal while operating at lower power consumption levels.
Data Source
AI summary
One embodiment provides a computer-implemented method that includes receiving an input image associated with a media content item. Gradient detection is performed to determine one or more outlines for the input image. Based on the one or more outlines, a perceived contrast associated with the input image is enhanced.


