Image Processing Apparatus Human Visual Perception Color Evaluation
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Solution Overview
Problem
Conventional color evaluation techniques using digital camera images fail to accurately reproduce subtle differences in color texture recognizable by human eyes, due to lack of resolution control based on human visual perception.
Innovation Solution
An image processing apparatus that acquires and processes images by generating a display image with a blur effect, allowing users to specify an evaluation area and calculate color differences, using filters that account for human visual contrast response to ensure accurate color evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional color evaluation techniques are used without resolution control, then detailed color information is preserved, but the reproduced color texture does not match human visual perception
Solution Approach 1:
The patent applies resolution control by changing the resolution parameter of the captured image based on human visual perception characteristics. Specifically, it adjusts the resolution to match the contrast sensitivity function of human eyes, filtering out frequencies that human eyes cannot perceive. This resolves the contradiction by transforming the image to a resolution level that accurately represents human visual perception while eliminating irrelevant high-frequency details that do not contribute to perceived color texture.
2Measurement precision
If high resolution is maintained in captured images, then detailed color information is preserved, but evaluation accuracy matching human perception is reduced
Solution Approach 1:
The patent transforms the image resolution parameter to align with human visual perception capabilities. It applies a resolution control process that adjusts the image to match the contrast sensitivity function, effectively changing the resolution parameter from raw camera capture to perception-matched resolution. This ensures that the reproduced color texture accurately reflects what human eyes can actually perceive.
Solution Approach 2:
The patent replaces the mechanical/optical resolution of the camera system with a perceptual resolution model based on human visual characteristics. Instead of relying on the camera's native resolution, it substitutes this with a resolution control process that uses human contrast sensitivity data to determine the appropriate resolution level, thereby substituting mechanical precision with perceptual accuracy.
Data Source
AI summary
An image processing apparatus includes an acquisition unit configured to acquire a captured image obtained by imaging an imaging target using an imaging device, a generation unit configured to generate a display image to be displayed on a display unit, based on the captured image, a control unit configured to cause the display unit to display the display image, a specification unit configured to specify an evaluation area on the display image based on an instruction from a user, and a calculation unit configured to calculate an evaluation value in the evaluation area on the display image. The generation unit executes a filter process on the captured image and generates the display image.