Image Processing Apparatus Unified 3D-LUT Parameter Blending
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Solution Overview
Problem
Existing image processing techniques require large-capacity memory and increased costs to execute multiple correction processes for both overall and object-specific image corrections, as they use different parameter formats for various correction processes such as brightness, color cast, and saturation, which complicates the blending of correction parameters.
Innovation Solution
An image processing apparatus and method that extracts a partial image corresponding to an object, calculates and generates correction parameters for both overall and object-specific processes, and blends these parameters using a common format, allowing for efficient execution of multiple correction processes without increasing memory requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple correction processes are executed with different parameter formats, then image quality correction is improved, but memory capacity and cost increase
Solution Approach 1:
The patent transforms correction parameters from multiple different formats into a unified common format. Specifically, it converts parameters for brightness correction (1D-LUT), color cast correction (3×3 rotation matrix), and saturation correction (across-the-board constant) into a unified 3D-LUT format, enabling all corrections to be executed using the same parameter structure without requiring separate memory spaces for each correction type.
Solution Approach 2:
The patent creates a universal parameter format (3D-LUT) that can accommodate multiple types of image corrections simultaneously. The unified 3D-LUT structure serves as a multi-functional container that integrates brightness correction, color cast correction, and saturation correction into a single parameter set, eliminating the need for separate parameter storage for each correction process.
2Adaptability or versatility
If multiple correction processes are executed with different parameter formats, then comprehensive image correction is improved, but device complexity increases
Solution Approach 1:
The patent merges multiple separate correction processes into a single unified correction framework. By combining brightness correction, color cast correction, and saturation correction into one integrated 3D-LUT-based process, it simplifies the overall system architecture. The unified approach eliminates the complexity of managing multiple independent correction pipelines with different parameter formats, while still providing comprehensive image correction capabilities.
3Manufacturing precision
If separate correction parameters are used for overall and local areas, then correction precision is improved, but parameter blending difficulty increases
Solution Approach 1:
The patent converts both overall-image correction parameters and local-image correction parameters into the same 3D-LUT format. This parameter transformation enables direct arithmetic operations between the two sets of parameters. The blending process becomes a simple addition operation: blended parameter = overall parameter + local parameter, eliminating the complexity of format conversion and compatibility checking that would otherwise be required.
Data Source
AI summary
An image processing method is a method for correcting both an image quality of an overall image and an image quality of a partial image with excellent balance.