Image Processing Apparatus Color Conversion Method Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional image processing systems fail to output high-quality images due to their dependency on image content for color reproduction processing methods.
Innovation Solution
An image processing apparatus that includes a memory and a control device, which stores prescribed data and an output-side profile for color conversion, and performs color conversion processes on object data to determine the appropriate type of post-conversion data for output, using either ICC color conversion or table color conversion based on the input profile, to ensure accurate color representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If color reproduction processing method is selected dependent on image contents, then processing speed can be optimized for different regions, but image quality cannot be guaranteed uniformly across all regions
Solution Approach 1:
The image is divided into multiple blocks, and different color reproduction processing methods are applied to different blocks based on their characteristics. This allows high-speed processing for simple regions (like mountains with single colors) and high-definition processing for complex regions (like human faces), thus optimizing both speed and quality across the entire image.
Solution Approach 2:
Different processing qualities are applied to different regions of the image based on local characteristics. Simple regions receive standard processing while complex regions receive enhanced processing, ensuring that each region gets the appropriate level of quality without uniformly processing the entire image at high definition, thereby improving overall efficiency while maintaining necessary quality.
2Productivity
If conventional color reproduction processing is used, then processing can be completed, but high-quality image output cannot be achieved
Solution Approach 1:
The processing method is dynamically adjusted based on the characteristics of each image block. The system automatically selects between high-speed and high-definition processing methods depending on the complexity and content of each region, enabling the processing quality and speed to adapt dynamically to local requirements rather than using a fixed processing approach for the entire image.
Data Source
AI summary
A target file includes: object data including pixels indicative of coordinate values in a first color space; and an input-side profile including data for converting coordinate values from the first color space into a specific color space. A color conversion is executed onto object data to generate post-conversion data including pixels indicative of coordinate values in a second color space. The executing color conversion includes executing judgment to judge, based on the input-side profile, which of first type post-conversion data generated through first type conversion using the input-side profile and an output-side profile, and second type post-conversion data generated through second-type conversion using prescribed data, should be used to output an image of the target file. The prescribed data is for conversion from the first color space into the second color space. The output-side profile contains data for conversion from the specific color space into the second color space.