Adaptive Image Immersion Enhancement via Foreground-Background Separation
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Solution Overview
Problem
Conventional methods fail to effectively enhance image immersion as they do not consider the unique characteristics of individual images, leading to inconsistent and ineffective immersion enhancement.
Innovation Solution
A system and method that separates an input image into foreground and background using color and frequency information, calculates an immersion enhancement factor based on viewing angle, foreground ratio, color information difference, and image information difference, and processes immersion enhancement based on predicted enhancement degree.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a uniform method is applied to enhance immersion for all images, then the processing is simple and consistent, but the enhancement effectiveness is poor because it does not consider image characteristics
Solution Approach 1:
The patent applies local quality by analyzing specific characteristics of different image regions (foreground and background) and applying different enhancement factors to each region. The immersion enhancement factor is calculated separately for foreground and background based on their respective color information and frequency characteristics, allowing each region to be enhanced according to its own properties rather than using a uniform approach.
Solution Approach 2:
The patent changes parameters by calculating immersion enhancement factors based on multiple image parameters including color information difference, frequency information, foreground ratio, and viewing angle. These parameters are used to dynamically adjust the enhancement degree for different images and regions, transforming the static uniform enhancement approach into a dynamic parameter-based adaptation system.
2Reliability
If immersion enhancement is adapted to individual image characteristics, then the enhancement effectiveness is improved, but the processing complexity increases due to foreground/background separation and multiple calculations
Solution Approach 1:
The patent applies segmentation by dividing the input image into foreground and background regions based on color information and frequency characteristics. This segmentation allows for separate analysis and enhancement of each region, making the complex task of adaptive enhancement more manageable by breaking it down into distinct processing stages for different image portions.
Solution Approach 2:
The patent applies preliminary action by performing foreground/background separation and calculating immersion enhancement factors before the actual enhancement process. This preliminary analysis phase prepares the necessary parameters and region divisions in advance, so that the subsequent enhancement application can proceed efficiently without repeating the complex analysis work.
3Measurement precision
If foreground/background separation and multiple factor calculations are performed, then accurate immersion prediction is achieved, but the computational load and processing time increase
Solution Approach 1:
The patent applies partial action by selectively calculating immersion enhancement factors for different regions (foreground and background) based on their importance and characteristics. Rather than uniformly processing the entire image with maximum detail, the system focuses computational resources on regions that contribute most to immersion perception, achieving good prediction accuracy with reduced overall computational load.
Data Source
AI summary
A system and method of enhancing an immersion based on adaptive immersion enhancement prediction is provided. A system for enhancing an immersion includes a foreground/background separation unit to separate an input image into a foreground image and a background image using color information and frequency information of the input image, an immersion enhancement factor calculation unit to calculate an immersion enhancement factor of the input image using the foreground image and the background image, an immersion enhancement prediction unit to predict an immersion enhancement degree of the input image using the immersion enhancement factor, and an immersion enhancement processing unit to process immersion enhancement of the input image by determining whether the immersion enhancement is necessary based on the predicted immersion enhancement degree.