Color Conversion Device with Middle Luminance Region Processing
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Solution Overview
Problem
Conventional color conversion devices only perform color conversion, failing to enhance image quality by not addressing luminance issues, which can lead to image quality degradation in high and low luminance regions.
Innovation Solution
A color conversion device that includes a conversion determination module, a color conversion module, and a luminance conversion module, which determines if the dominant color of an input image is within a predetermined color conversion region and performs luminance conversion only in a middle luminance range, using specific equations to adjust luminance, thereby improving image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If luminance conversion is performed across all luminance ranges, then color enhancement is improved, but image quality degrades in high and low luminance regions
Solution Approach 1:
The patent applies different processing strategies to different luminance regions: the luminance conversion module performs luminance conversion only on pixel data within the middle luminance region, while preserving pixel data in high and low luminance regions. This local differentiation resolves the contradiction by enhancing colors where needed (middle luminance) while avoiding quality degradation in sensitive regions (high and low luminance).
Solution Approach 2:
The luminance range is segmented into three distinct regions: low luminance region, middle luminance region, and high luminance region. The conversion determination module determines which region each pixel belongs to, and the luminance conversion module applies conversion only to the middle region. This segmentation allows selective processing that improves color enhancement while protecting image quality in extreme luminance regions.
2Adaptability or versatility
If color conversion is performed on all pixel data, then color preference is improved, but processing complexity increases
Solution Approach 1:
Instead of performing color conversion on all pixel data, the patent applies color conversion selectively only to pixel data within the middle luminance region. This partial action approach reduces unnecessary processing on pixel data that would not benefit from or would be harmed by color conversion, thereby reducing processing complexity while maintaining color preference adaptation where it matters most.
3Ease of operation
If luminance conversion is applied uniformly, then processing simplicity is maintained, but image quality degrades in extreme luminance regions
Solution Approach 1:
The patent implements local quality control by determining the luminance region of each pixel and applying luminance conversion only to the middle luminance region. This approach maintains processing simplicity through standardized conversion processes while avoiding quality degradation in extreme luminance regions by excluding them from conversion. The conversion determination module manages the complexity of region identification, allowing the luminance conversion module to focus on simple conversion operations.
Data Source
AI summary
A color conversion device includes a conversion determination module which receives input image data including a plurality of pixel data, and to determine whether a dominant color of an input image represented by the input image data is within a predetermined color conversion region, a color conversion module which performs color conversion on pixel data representing a color within the color conversion region among the plurality of pixel data when the dominant color of the input image is within the color conversion region, and a luminance conversion module which performs luminance conversion on pixel data representing a luminance within a predetermined middle luminance region among the pixel data on which the color conversion is performed.