Image Processing Contour Line Coordination for Region-Specific Adjustment

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Solution Overview

Problem

Existing image beautification technologies often cause uncoordinated adjustments in different regions of an image, leading to image distortion due to inadequate coordination of contour lines during processing.

Innovation Solution

An image processing method that determines contour lines and regions within an image, adjusts target pixel points in one region based on set parameters, and adaptively adjusts adjacent regions using reference pixel points to maintain smooth contour lines and prevent distortion.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Shape

If adjustment parameters are set to adjust a selected region in an image to produce beautification effects, then the visual appearance of the target object is improved, but image distortion occurs and different regions become uncoordinated

Engineering Contradiction:

Improvevisual appearance of target objectVSAvoidimage coordination and distortion control

Core Design Contradiction:

ShapeVSManufacturing precision

Solution Approach 1:

The image is divided into multiple regions including a first region, a second region, and a third region. Each region is processed independently with region-specific adjustment parameters, allowing localized beautification while maintaining global image coordination. The contour line serves as a boundary that separates these regions for differential processing.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Different adjustment parameters are applied to different regions: the first region receives first adjustment parameters, the second region receives second adjustment parameters, and the third region receives third adjustment parameters. This local quality approach ensures that each region is optimized for its specific characteristics while maintaining overall image harmony.

Inventive Principle:

Principle #3Local quality

2Manufacturing precision

If contour lines are adjusted to achieve smooth transitions between regions, then image coordination is improved, but the complexity of the processing increases

Engineering Contradiction:

Improveimage coordinationVSAvoidprocessing complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

A contour line is introduced as an intermediary element that separates and connects different regions. The contour line adjustment parameters act as mediators that coordinate the transitions between regions, ensuring smooth visual continuity while simplifying the overall processing architecture by providing a clear structural framework.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The contour line is detected and established before the actual image adjustment process begins. This preliminary action defines the regional boundaries and provides a structural framework that guides subsequent parameter application, thereby simplifying the complexity of coordinating multiple regions during the adjustment phase.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS11410268B2Image processing methods and apparatuses, electronic devices, and storage media

Publication Date: 2022.08.09 BEIJING SENSETIME TECH DEV CO LTD

AI summary

An image processing method includes: performing inspection on an image to be processed, and determining a contour line of a target object in the image to be processed and regions of the target object; determining, for a selected first region, first adjustment parameters of target pixel points in the first region according to set parameters; determining, for a second region adjacent to the first region, second adjustment parameters of reference pixel points in the second region; and adjusting the image to be processed according to the first and second adjustment parameters to determine an adjusted image.