Illuminant Detection Region Based on Exposure Integration Time
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Solution Overview
Problem
Existing white balancing techniques face challenges in achieving consistent color reproduction across images taken under the same light source, as they struggle to accurately estimate and compensate for variations in illuminant conditions.
Innovation Solution
A method and system for improved illuminant estimation in white balancing, which sets an illuminant detection region based on exposure integration time and uses data within a color gamut to detect and correct for illuminant variations, stabilizing the detection process through statistical analysis and threshold calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing white balancing techniques are used to detect illuminant, then the process is simple, but color reproduction consistency deteriorates under the same light source
Solution Approach 1:
The patent divides the image into multiple regions and performs illuminant detection in each region separately. By segmenting the image space and applying region-specific detection algorithms, the system achieves more accurate and consistent illuminant estimation across different areas, resolving the contradiction between simple detection and accurate color reproduction.
Solution Approach 2:
The patent performs preliminary classification of pixels into sky, ground, and other regions before illuminant detection. This preliminary segmentation and classification enables more accurate illuminant estimation by considering the specific characteristics of each region type, thereby improving color reproduction consistency without overly complicating the overall process.
2Reliability
If region-based illuminant detection is performed, then color reproduction improves, but computational complexity increases
Solution Approach 1:
The patent segments the image into distinct regions (sky, ground, others) and applies simplified detection rules to each segment rather than performing complex analysis on the entire image. This segmentation approach maintains color reproduction consistency while reducing overall computational complexity by dividing the problem into manageable parts.
Solution Approach 2:
The patent applies different detection strategies to different regions based on their local characteristics. Sky regions use one detection approach, ground regions use another, and this localized quality adjustment optimizes the balance between accuracy and computational effort for each specific area.
Data Source
AI summary
A white balancing detecting method, medium, and system. The white balancing method includes setting an illuminant detection region of an input image in accordance with an exposure integration time indicative of a collected amount of light when the image is taken, and detecting an illuminant by using data contained in the illuminant detection region in a color gamut of the image.