Image Processing Parameter Adjustment for Natural Color Rendering
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Solution Overview
Problem
Image processing technologies face challenges in generating high-quality output images when object conditions, such as brightness, differ between pre-variation and post-variation in-focus objects during the refocus process, often resulting in unnatural colors.
Innovation Solution
An image processing apparatus that sets specific image processing parameters for each object area within an input image, considering the positional relationship between objects, to optimize image processing and achieve high-quality output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If image processing is performed with parameters set for the pre-variation in-focus object, then the pre-variation in-focus object maintains its original quality, but the post-variation in-focus object exhibits unnatural colors and reduced quality
Solution Approach 1:
The image is divided into multiple object areas, with separate image processing parameters set for each area based on its focus characteristics. This allows different processing optimizations for pre-variation and post-variation in-focus objects simultaneously
Solution Approach 2:
Different image processing parameters are applied to different object areas according to their specific focus requirements. The parameter setting unit determines appropriate parameters for each object area, enabling localized optimization rather than uniform processing across the entire image
2Manufacturing precision
If separate image processing parameters are set for each object area, then image quality for different focus objects is improved, but processing complexity increases
Solution Approach 1:
The parameter setting unit pre-calculates and stores appropriate image processing parameters for each object area before actual image processing occurs. This preliminary preparation reduces the computational burden during real-time processing by having parameters ready in advance
Data Source
AI summary
An image processing apparatus includes one or more processors that set a first image processing parameter for each of a plurality of first object areas included in an input image, perform image processing for the input image with a second image processing parameter set based on a plurality of first image processing parameters corresponding to the plurality of first object areas, and select a second object area in the input image. The one or more processors also obtain information on a positional relationship between an object contained in the second object area and an object contained in the first object area, and set the second image processing parameter based on the plurality of first image processing parameters and the information on the positional relationship. The image processing is performed based on the first image processing parameter and the information on the positional relationship, which are stored in a memory.