Image Processing System for Uniform Color Tone Adjustment
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Solution Overview
Problem
Existing image processing technologies fail to uniformly adjust the brightness and color tone of captured images from different subjects, leading to discomfort for viewers when these images are displayed sequentially, as they often rely on methods that cannot apply corrections across varying lighting conditions and subjects.
Innovation Solution
An image processing system that determines representative colors and luminance values for each image, calculates correction parameters, and performs color and brightness corrections to ensure uniformity across multiple images, using clustering processes and correction parameters based on general representative colors and luminance values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional image processing methods are used to capture images from different subjects under varying lighting conditions, then image capture efficiency is maintained, but brightness and color tone uniformity deteriorates causing viewer discomfort
Solution Approach 1:
The patent applies parameter changes by calculating correction parameters based on representative colors and luminance values of multiple images. These parameters are then applied to adjust brightness and color tone of individual images, transforming the visual characteristics to achieve uniformity across images captured under different lighting conditions
Solution Approach 2:
The patent creates a universal correction mechanism that processes multiple images with different subjects and lighting conditions through a common workflow: calculating representative colors, determining correction parameters, and applying corrections. This multi-functional approach ensures consistent brightness and color tone across diverse image sets
2Manufacturing precision
If individual image processing is performed without cross-image correction, then processing speed is maintained, but color consistency across multiple images deteriorates
Solution Approach 1:
The patent segments the image processing task into distinct stages: first calculating representative colors for each image, then computing correction parameters based on these representatives, and finally applying corrections to individual images. This segmentation allows complex cross-image correction to be broken into manageable, systematic steps
Solution Approach 2:
The patent performs preliminary actions by calculating representative colors and correction parameters for all images before applying corrections. This advance preparation ensures that color consistency is established through systematic pre-computation, avoiding the need for complex real-time adjustments during individual image processing
Data Source
AI summary
An image processing apparatus includes circuitry configured to: acquire a plurality of pieces of image data; determine, for each of the plurality of pieces of image data, a first representative color indicating a feature of a color representative of the image data, based on pixel values of the image data; calculate, based on the determined first representative color of the plurality of pieces of image data, a second representative color indicating a feature of a color representative of the plurality of pieces of image data; calculate, based on the first representative color and the second representative color of image data to be corrected, a correction parameter for color correction of the image data to be corrected among the plurality of pieces of image data; and perform the color correction on the image data to be corrected using the calculated correction parameter.