Display Tone Mapping for Local Contrast Without Detail Loss
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Solution Overview
Problem
Existing display technologies face challenges in effectively enhancing image contrast, particularly in areas with different local contrast characteristics, leading to issues such as brightness or darkness imbalances and potential fractures in medium-luminance areas, and existing methods may cause side effects like black detail disappearance or pattern distortion.
Innovation Solution
A display apparatus and method that utilize luminance and perceptual luminance information, combined with scene intensity information, to predict side effects and perform image quality processing, including focus level mapping and tone mapping curves, to enhance contrast while minimizing side effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If global contrast enhancement is applied to the entire image, then the luminance dynamic range is extended, but medium-luminance areas may appear smooth and lose detail
Solution Approach 1:
The image is divided into multiple local areas, and contrast enhancement is applied differently to each area based on its local characteristics. This segmentation allows medium-luminance areas to receive appropriate enhancement while preserving their details, rather than applying a uniform global transformation that would cause them to appear smooth.
Solution Approach 2:
Different contrast enhancement parameters and curves are applied to different local areas of the image based on their specific luminance characteristics. Medium-luminance areas receive customized enhancement that preserves their detail texture, while other areas receive enhancement suited to their local properties, achieving local quality optimization.
2Manufacturing precision
If local contrast enhancement is applied to specific areas, then local detail visibility is improved, but fractures may occur in the image
Solution Approach 1:
The patent combines global contrast enhancement with local contrast enhancement in a unified processing framework. The global transformation provides overall luminance dynamic range extension, while local transformations are merged with it to enhance specific areas. This merging ensures that local enhancements are smoothly integrated into the global context, preventing fractures and maintaining image continuity.
Solution Approach 2:
The system analyzes local area characteristics and uses this information to adjust enhancement parameters, then applies the enhancement and evaluates the result. This feedback mechanism ensures that local contrast enhancement is applied appropriately without causing fractures, as the system can detect and correct potential discontinuities.
3Manufacturing precision
If object-based contrast enhancement is applied separately to foreground and background, then foreground and background contrast are improved, but fractures occur when their averages differ
Solution Approach 1:
The patent merges object-based contrast enhancement with local area-based enhancement in a unified framework. By considering both object characteristics and local area properties, the system applies coordinated transformations that improve foreground and background contrast while ensuring smooth transitions at boundaries, preventing fractures that would occur with separate independent processing.
Data Source
AI summary
Provided are a display apparatus and a method thereof. The display apparatus includes a display; a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory to: receive an input image, obtain luminance information from the input image, obtain, based on the luminance information, perceptual luminance information in view of a visual response, predict scene intensity information indicating a degree of a side effect that occurs after a first image quality processing is performed on the input image, and perform the first image quality processing on the input image based on the scene intensity information and the perceptual luminance information.