3D Image Depth Adjustment via Object-Background Contrast
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional 3D displays often suffer from image quality deterioration and visual fatigue due to inadequate depth adjustment, which fails to consider human visual perception characteristics.
Innovation Solution
An image processing apparatus and method that separates object and background regions based on color and depth images, calculates contrast using luminance values, and adjusts depth using a scale factor determined by just noticeable difference (JND) experiments, to minimize visual fatigue while maintaining image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If depth is increased to enhance 3D effect, then sense of reality is improved, but visual fatigue increases and image quality deteriorates
Solution Approach 1:
The patent applies different depth adjustment strategies to different regions of the image based on object-background contrast. High contrast regions receive different depth scaling than low contrast regions, optimizing the 3D effect locally while minimizing visual fatigue in sensitive areas
Solution Approach 2:
The patent dynamically adjusts depth parameters (scaling factors) based on calculated contrast values between objects and background. By changing depth parameters according to local contrast conditions, the system enhances reality sense where needed while reducing fatigue-inducing depth in other areas
2Reliability
If depth adjustment is applied uniformly to enhance 3D effect, then sense of reality is improved, but image quality deteriorates due to lack of adaptability
Solution Approach 1:
The patent implements region-specific depth adjustment by calculating contrast separately for object and background regions. Each region receives customized depth scaling based on its local contrast characteristics, preserving image quality while enhancing 3D effect in appropriate areas
Solution Approach 2:
The system dynamically determines depth adjustment parameters based on real-time contrast calculation between object and background regions. This adaptive approach allows the depth effect to respond to content characteristics, maintaining image quality while enhancing reality sense
Data Source
AI summary
Provided is an image processing method and apparatus, the apparatus including an object separation unit to separate an object region from a background region using at least one of a color image and a depth image associated with the color image, a contrast calculating unit to calculate a contrast between the object region and the background region, and a depth adjusting unit to adjust a depth of the depth image based on the calculated contrast.


