Image Processing Method for Adaptive Color Filtering

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Solution Overview

Problem

Conventional color filtering algorithms struggle to effectively process complex image scenarios containing multiple types of content, such as texts, portraits, and geometric graphics, often resulting in aesthetically poor outcomes like jagging and loss of detail.

Innovation Solution

An image processing method that acquires multiple intermediate images based on the input image, each corresponding to a specific type of content, and applies distinct color filtering processes to these images, allowing for adaptive filtering that meets the unique requirements of each content type, thereby improving the overall color filtering effect.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If a single color filtering algorithm is applied to the entire image, then the processing complexity is low, but the color filtering effect deteriorates for different content types

Engineering Contradiction:

Improvecolor filtering effectVSAvoidprocessing complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The image is segmented into multiple regions based on content types (text, portrait, geometric graphic, background). Each region is processed independently with its own optimized color filtering algorithm, thereby improving the overall color filtering effect while managing complexity through regional division

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Different color filtering algorithms are applied to different regions of the image according to their specific content characteristics. Text regions use one algorithm, portraits use another, geometric graphics use yet another, ensuring each local area receives the most appropriate processing for its specific quality requirements

Inventive Principle:

Principle #3Local quality

2Manufacturing precision

If different color filtering algorithms are applied to different content types, then the color filtering effect is improved, but the device complexity increases

Engineering Contradiction:

Improvecolor filtering effectVSAvoidalgorithm complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The image is pre-processed through content detection and classification before the actual color filtering is applied. This preliminary action identifies text, portrait, geometric graphic, and background regions, allowing subsequent algorithms to be selectively applied based on pre-determined content types, thereby managing complexity through advance preparation

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

A content detection and classification module serves as an intermediary between the input image and the multiple color filtering algorithms. This intermediary analyzes the image content and directs appropriate algorithms to specific regions, acting as a mediator that manages the complexity of having multiple algorithms without requiring each algorithm to independently determine its application scope

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20250104283A1Image Processing Method, Image Processing Apparatuses and Readable Storage Medium

Publication Date: 2025.03.27 BOE TECHNOLOGY GROUP CO LTD

AI summary

An image processing method, an image processing device, and a readable storage medium are provided. The image processing method includes: acquiring an input image; acquiring at least two intermediate images based on the input image; acquiring an output image based on the at least two intermediate images. Each of the at least two intermediate image corresponds to a single type of image content, different intermediate images correspond to different types of image content, and different intermediate images correspond to different color filtering processes.