Single-Image Ghost Reflection Removal Through Gradient Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for removing ghost reflections in images taken through glass surfaces require multiple images or specialized equipment, making them impractical for real-world applications.
Innovation Solution
An image processing method that calculates the image gradient of a single image to identify and remove ghost reflections by determining a gradient magnitude threshold, using a Laplace transform and discrete cosine transform to generate a target image without ghost reflections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple similar images are taken or specialized equipment is used to remove ghost reflection, then the removal effectiveness is improved, but the device complexity and operational difficulty increase
Solution Approach 1:
The patent extracts and removes only the ghost reflection component from the image by calculating image gradients and identifying regions where the gradient magnitude is abnormally low compared to surrounding areas. This allows selective removal of the harmful reflection while preserving the rest of the image content using a single image and standard camera equipment.
Solution Approach 2:
The patent introduces image gradient calculation as an intermediary mechanism to detect and locate ghost reflection regions. By computing gradients and comparing them against threshold values, the system can identify reflection areas without requiring multiple images or specialized optical equipment, thus simplifying the overall system while maintaining removal effectiveness.
2Reliability
If multiple similar images are taken to remove ghost reflection, then the removal effectiveness is improved, but the processing time increases
Solution Approach 1:
The method extracts ghost reflection information from a single image through gradient calculation, eliminating the need to capture and process multiple images. This extraction approach achieves effective removal while reducing processing time significantly, as it operates on one image rather than requiring alignment and processing of multiple captured frames.
Solution Approach 2:
The patent replaces the mechanical approach of capturing multiple images with a computational approach using image gradient analysis. This substitution transforms the problem from a multi-image capture and alignment task into a single-image processing task, dramatically reducing both capture time and processing time while maintaining removal effectiveness.
3Productivity
If a single image is processed to remove ghost reflection, then the processing speed is improved, but the removal effectiveness deteriorates
Solution Approach 1:
The patent uses image gradient calculation as an intermediary to enable effective ghost reflection detection and removal from a single image. By introducing this computational mediator, the system can identify reflection regions through gradient magnitude analysis and threshold comparison, achieving both high processing speed and effective removal without requiring multiple images.
Solution Approach 2:
The patent changes the analysis parameter from intensity-based multi-image comparison to gradient-based single-image analysis. By computing spatial gradients and using gradient magnitude thresholds, the method transforms the detection approach to work effectively with a single image, maintaining removal effectiveness while enabling fast processing speeds.
Data Source
Figure 1
Figure 2
Figure 3~4
AI summary
Provided in the embodiments of the present application are an image processing method, an apparatus, a computer readable medium, and an electronic device. The image processing method comprises: acquiring an image to be processed that contains reflective ghosting; calculating an image gradient of the image to be processed; according to the image gradient, determining a gradient of a target image after the reflective ghosting has been removed from the image to be processed; on the basis of the gradient of the target image, generating the target image. The technical solutions of the embodiments of the present application may effectively remove reflective ghosting in an image, thus ensuring that a processed image is high quality.