Image Processing Apparatus Color Bleeding Correction
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Solution Overview
Problem
Existing image processing methods fail to properly correct color bleeding near high luminance points and are limited in addressing color bleeding other than purple fringes, often erasing subject colors and not accounting for varying distances from high luminance points.
Innovation Solution
An image processing apparatus that detects high luminance points, extracts chroma information from multiple areas around these points, estimates color bleeding intensity based on relative chroma values, and applies chroma reduction and smoothing processes to correct color bleeding while maintaining the original color structure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all purple pixels near high luminance points are corrected without distinction, then color bleeding is removed, but subject colors are erased
Solution Approach 1:
The patent applies different processing strategies to different regions around high luminance points based on their distance. It divides the image into a first area (closer to high luminance point) and a second area (farther from high luminance point), and processes chroma differently in each region. This local differentiation allows preserving subject colors in the second area while correcting color bleeding in the first area.
2Reliability
If chroma is reduced uniformly across the image, then color bleeding is corrected, but color accuracy of subjects is degraded
Solution Approach 1:
The patent implements location-dependent chroma processing by extracting chroma from the first area near high luminance points and comparing it with chroma from the second area farther away. The chroma reduction is applied selectively based on this comparison, ensuring that color bleeding is corrected locally without degrading the overall color accuracy of the image.
3Ease of manufacture
If only purple fringe color bleeding is addressed, then processing is simple, but other types of color bleeding are not corrected
Solution Approach 1:
The patent employs a universal chroma extraction and comparison mechanism that works for all types of color bleeding, not just purple fringes. By extracting chroma information from different areas and comparing their relative values, the system can identify and correct various forms of color bleeding (purple, green, red, etc.) using the same processing framework, making the solution versatile across different color aberration types.
Data Source
AI summary
A high luminance point detecting section of an image processing apparatus detects a high luminance point of the captured image. A chroma extracting section sets a first area in the captured image with the high luminance point serving as a reference point and extracts a first chroma by using color information of the first area. Further, the chroma extracting section sets a second area at a position more apart from the high luminance point than the first area in the captured image and extracts a second chroma by using color information of the second area. A color bleeding estimating section estimates intensity of color bleeding appearing in the captured image based on a value of the first chroma relative to the second chroma.