Image Display Processing with Color Histograms for Motion Artifact Reduction
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Solution Overview
Problem
Existing image display technologies struggle to enhance the sense of presence while reducing artifacts, particularly in regions with similar color distributions, leading to erroneous detections and increased artifacts during object motion.
Innovation Solution
An image display apparatus with a signal processing device that extracts an image map and color histogram of multiple regions, updates the map based on the histogram, and performs image quality processing to enhance the sense of presence and reduce artifacts, including brightness adjustments based on color hue and saturation levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If color-based region detection is used to enhance sense of presence, then image quality in specific regions is improved, but erroneous detection increases when multiple regions have similar color distributions
Solution Approach 1:
The patent segments the image processing into multiple stages: initial color-based region detection, followed by refinement using depth information and object detection results. This multi-stage segmentation approach allows the system to first identify candidate regions using color histograms, then filter and refine these regions using additional information sources, thereby resolving the contradiction between detection speed and accuracy.
Solution Approach 2:
The patent introduces depth maps and object detection results as intermediary elements that mediate between color-based detection and final region determination. These intermediaries provide additional discrimination power to distinguish between regions with similar color distributions, reducing erroneous detections while maintaining the efficiency of color-based initial detection.
2Manufacturing precision
If image processing is performed on all regions to enhance quality, then overall image quality improves, but processing time and computational load increase
Solution Approach 1:
The patent applies local quality processing by performing detailed image enhancement only on detected foreground regions and regions of interest, rather than processing the entire image. The system uses the refined region masks to selectively apply processing algorithms, thereby maintaining high image quality in critical areas while minimizing overall processing time and computational resources.
Solution Approach 2:
The patent implements partial action by focusing computational resources on specific regions identified as important (foreground objects, skin tones, etc.). Rather than applying uniform processing across the entire image, the system performs enhanced processing only where needed, achieving high overall image quality with reduced processing time by concentrating efforts on critical regions.
3Illumination intensity
If brightness adjustment is applied to all regions to enhance visual impact, then sense of presence improves, but artifacts increase in regions with similar color distributions
Solution Approach 1:
The patent applies local quality control to brightness adjustment by using the refined region masks to selectively apply brightness enhancement only to identified foreground regions and objects of interest. This localized approach ensures that brightness adjustments enhance the sense of presence in relevant areas while avoiding artifact generation in background regions with similar color distributions, as these regions are excluded from aggressive processing.
Data Source
AI summary
An image display apparatus may include a display, and a signal processing device configured to process an input image signal and output an output image signal. The signal processing device may be configured to extract an image map and a color histogram of the input image signal, update the image map based on the color histogram, and perform image quality processing based on the updated image map.