Bandwidth Enhancement for Binocular Rivalry Sharpness
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Solution Overview
Problem
Existing image processing methods fail to enhance sharpness and texture, particularly for objects viewed under reflected light and metallic textures, as they do not effectively utilize temporal variation and overall contrast correction.
Innovation Solution
An image processing method that performs bandwidth enhancement processing differently for right and left eye images, using band pass filters to emphasize specific frequency bands and generate binocular rivalry, thereby improving image quality and contrast sensitivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If overall contrast correction is applied to enhance image sharpness, then general contrast is improved, but sharpness and texture perception (especially for metallic and reflective surfaces) cannot be sufficiently enhanced
Solution Approach 1:
The invention segments the image processing into different frequency bands using band-pass filters. Instead of applying uniform contrast correction to the entire image, it processes specific frequency ranges (spatial frequencies) separately, allowing selective enhancement of edges and textures while maintaining overall image quality.
Solution Approach 2:
The invention applies different processing characteristics to different spatial frequency components. By using band-pass filters with specific center frequencies and bandwidths, it enhances local features (edges, textures) with appropriate filtering parameters while leaving other frequency components unaffected, achieving localized quality improvement.
2Device complexity
If static image processing is used to improve image quality, then processing complexity is low, but temporal variation that could enhance texture perception is not utilized
Solution Approach 1:
The invention introduces temporal variation by periodically alternating the application of different band-pass filter characteristics between successive image frames. This periodic switching creates dynamic enhancement effects that improve texture perception, particularly for reflective and metallic surfaces, while maintaining relatively simple processing requirements.
Solution Approach 2:
The invention transitions from static to dynamic image processing by varying filter parameters over time. The band-pass filter characteristics (center frequency, bandwidth) are dynamically adjusted between frames, creating temporal variation that enhances the perception of texture and surface properties without significantly increasing processing complexity.
Data Source
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AI summary
An image processing method and an image processing device which can improve sharpness by producing a binocular rivalry intentionally are provided. An image processing device 100 includes a right eye image acquiring unit 101 which generates a right eye image by performing a correction processing on an input image, a left eye image acquiring unit 102 which generates a left eye image which produces a binocular rivalry with the right eye image by performing a correction processing which is different from the correction processing, and a multi-eye display unit which displays the right eye image and the left eye images to different viewpoints.