Image Processing Device White Balance Ratio Storage
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Solution Overview
Problem
Multi-area white balance processing requires significant storage capacity due to the need to store different white balance gains for each pixel, leading to storage capacity issues and a demand for efficient adjustment of image data white balance.
Innovation Solution
An image processing device that acquires white balance gains for each pixel, determines a white balance base value, and applies a white balance ratio to the original image data, allowing for accurate multi-area white balance processing without independently storing white balance gains for each pixel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multi-area white balance processing is implemented to accurately correct color balance in different areas of an image, then color accuracy is improved, but storage capacity requirements increase significantly due to the need to store different white balance gains for each pixel
Solution Approach 1:
The patent extracts only the essential white balance information (base value and ratio) from the full per-pixel white balance gain data. By separating the common base value from the area-specific ratios, the system stores only the necessary information needed to reconstruct accurate white balance gains, significantly reducing storage requirements while maintaining color accuracy.
Solution Approach 2:
Instead of storing complete white balance gain values for each pixel, the patent inverts the approach by storing a base value and ratios that can be used to reconstruct the gains. This inversion transforms the storage problem from storing large absolute values to storing smaller relative values, reducing storage capacity needs.
2Adaptability or versatility
If per-pixel white balance gains are stored independently for subsequent image adjustment, then flexibility in post-processing is improved, but data management complexity increases
Solution Approach 1:
The patent merges the per-pixel white balance information into a compact representation using base values and ratios. This combining approach maintains all necessary information for flexible post-processing while organizing the data in a unified, efficient structure that reduces management complexity compared to storing independent per-pixel gains.
Solution Approach 2:
The base value and ratio representation serves multiple functions: it enables accurate white balance correction, allows flexible post-processing adjustment, and provides an efficient storage format. This universal representation replaces the need for separate storage mechanisms, simplifying data management while maintaining adaptability.
Data Source
AI summary
Provided are an image processing device, an imaging device, an image processing method, and a program that can obtain image data subjected to appropriate multi-area white balance processing subsequently while reducing required storage capacity. A white balance gain is acquired for each pixel of original image data (S11). A white balance base value is determined (S12) and a white balance ratio indicating the ratio of the white balance gain to the white balance base value is acquired for each pixel of the original image data (S13). Each pixel value of the original image is multiplied by the white balance ratio to acquire processed image data (S14). Each pixel value of the processed image data is multiplied by the white balance base value to acquire image data in which the white balance gain is applied to each pixel of the original image data.