Tone Correction for Face Portions in Images
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Solution Overview
Problem
Conventional tone correction methods often deteriorate the contrast between bright and dark portions of human faces in images, leading to unnatural brightness or darkness, especially when the face is significantly different in brightness from the background.
Innovation Solution
A tone correcting apparatus and method that acquires first and second brightness information for block regions and the face portion, respectively, to adjust the image brightness, using a combination of key determination units and a correction gain calculator to apply a correction curve that maintains appropriate tone in the face portion by interpolating gain values based on relative brightness levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If conventional tone correction is applied to the entire image, then overall brightness is improved, but face portion contrast deteriorates and unnatural brightness occurs
Solution Approach 1:
The image is divided into multiple block regions, and tone correction is performed independently for each block based on its local brightness characteristics. This segmentation allows different correction strategies to be applied to different areas, preventing the deterioration of face portion contrast while maintaining overall brightness improvement.
Solution Approach 2:
Different tone correction characteristics are applied to different block regions based on their local properties. Blocks containing face portions use different correction curves compared to background blocks, ensuring that each region receives appropriate treatment for its specific content and brightness level.
2Device complexity
If uniform correction curve is applied to all blocks, then processing simplicity is maintained, but local detail loss occurs
Solution Approach 1:
The image is divided into multiple block regions, and tone correction is performed independently for each block based on its local brightness characteristics. This segmentation allows different correction strategies to be applied to different areas, preventing the deterioration of face portion contrast while maintaining overall brightness improvement.
Solution Approach 2:
Different tone correction characteristics are applied to different block regions based on their local properties. Blocks containing face portions use different correction curves compared to background blocks, ensuring that each region receives appropriate treatment for its specific content and brightness level.
3Manufacturing precision
If aggressive brightness correction is applied, then overall contrast enhancement is achieved, but face portion becomes unnaturally bright or dark
Solution Approach 1:
Face portions are detected in advance, and their brightness information is acquired before applying tone correction. This preliminary identification allows the correction process to specifically adjust for face portions, preventing them from becoming unnaturally bright or dark while still achieving overall contrast enhancement.
Solution Approach 2:
The correction process uses feedback from face portion brightness information to adjust correction characteristics. By monitoring the brightness levels in detected face portions and comparing them against desired ranges, the system can modify correction curves to maintain natural appearance while achieving contrast enhancement.
Data Source
AI summary
A tone correcting apparatus includes: a first acquiring unit that acquires first brightness information indicating brightness of each of a plurality of block regions that are set to cover an entire area of an image; a face detecting unit that detects a face portion where a human face is positioned in the image; a second acquiring unit that acquires second brightness information indicating brightness of the face portion detected by the face detecting unit; and a correction unit that corrects brightness of the image based on the first brightness information and the second brightness information.


