Simulation of Automatic Color Adjustment of Landscape Image Based on Color Mapping Algorithm

Area of Science:

• Computer Vision
• Image Processing
• Landscape Design

Background:

• Image sensing technology advancements have improved data acquisition and recovery.
• Color mapping algorithms significantly impact image display quality, especially in landscape design.
• Automatic color adjustment and simulation are crucial for dynamic and static images.

Purpose of the Study:

• To introduce a simplified color mapping algorithm model for landscape image color adjustment.
• To propose a simulation algorithm for landscape image color adjustment based on the developed model.
• To enhance the realism and reduce illumination bias in landscape image reproduction.

Main Methods:

• Developed a simplified color mapping algorithm model inspired by a two-way vision model.
• Proposed a simulation algorithm for automatic color adjustment in landscape images.
• Conducted experiments to evaluate image reproduction quality and illumination bias.

Main Results:

• The proposed color mapping algorithm achieves more realistic image reproduction.
• The method demonstrates reduced illumination bias compared to other approaches.
• Experimental results show improvements in visibility differences and illuminance differences.

Conclusions:

• The developed color mapping algorithm provides strong technical support for landscape image color adjustment.
• The method enhances color density by reducing image sharpness and compensating for color sharpness.
• High-quality landscape images generated by this method assist landscape design professionals.