Monochrome Image Colorization with Pixel Value Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Monochrome images with pixel values affected by gradation deterioration or illumination issues during photography present challenges in accurate color reproduction when colorized using existing image processing systems, as these systems generate colorized images based on input pixel values without proper correction.
Innovation Solution
An image processing system that includes an image acquisition unit, a pixel value correction unit, and a colorization generation unit, where the pixel value correction unit corrects pixel values based on related information, and the colorization generation unit uses a machine learning-trained colorization prediction model to generate a colorized image from the corrected monochrome image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a colorized image is generated based on the pixel values of a monochrome photograph using a prediction model, then the colorization process is simple and fast, but the color reproduction accuracy deteriorates when the monochrome photograph has pixel value deviations due to gradation deterioration or illumination issues
Solution Approach 1:
The patent applies preliminary action by performing pixel value correction on the monochrome image before feeding it to the colorization prediction model. The correction unit pre-processes the input image to compensate for gradation deterioration and illumination variations, ensuring that the subsequent colorization process receives corrected pixel values that lead to accurate color reproduction while maintaining processing efficiency
2Measurement precision
If pixel values are corrected based on information related to pixel values before colorization, then color reproduction accuracy is improved, but the processing complexity increases
Solution Approach 1:
The patent introduces an intermediary correction unit between the monochrome image input and the colorization prediction model. This intermediary component performs pixel value correction by comparing input pixel values with reference pixel values and applying appropriate corrections, thereby improving color reproduction accuracy without requiring fundamental changes to the overall system architecture or the prediction model itself
Data Source
AI summary
An image processing system according to an example aspect of the present disclosure includes: an image acquisition unit configured to acquire a monochrome image; a pixel value correction unit configured to correct a pixel value of the monochrome image based on information related to a pixel value; and a colorization generation unit configured to generate a colorized image corresponding to the monochrome image from the corrected monochrome image by using a colorization prediction model trained by machine learning. With the present disclosure, it is possible to improve the reproduction accuracy of a color in colorization of a monochrome image.