Image Depth Enhancement via Selective Pixel Filtering
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Solution Overview
Problem
Two-dimensional images lack depth perception, making it difficult for most photographers to capture a sense of three-dimensional depth, even with skilled techniques, and existing enhancement methods do not effectively analyze user-selected pixels or regions to enhance the three-dimensional appearance.
Innovation Solution
A method that involves selecting pixels or regions within an image, calculating scaling factors based on their relative distance from a hypothetical camera, applying filters with scaled differences to modify pixel attributes, and outputting a modified image to enhance depth perception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If uniform filtering is applied across the entire image, then processing simplicity is maintained, but three-dimensional depth enhancement is insufficient
Solution Approach 1:
The patent applies different filter strengths to different regions of the image based on depth information. Specifically, pixels representing nearer objects receive stronger filter application while pixels representing distant objects receive weaker filter application, creating local variation in processing intensity that enhances perceived depth without requiring completely different processing pipelines for different regions
2Manufacturing precision
If skilled photography techniques are used to capture depth, then depth perception is improved, but ease of operation deteriorates due to requiring specialized skills
Solution Approach 1:
The system automatically performs depth analysis and selective filtering without requiring user intervention or specialized photographic skills. The computer automatically identifies regions at different depths and applies appropriate filter strengths, making professional-grade depth enhancement accessible to ordinary users through automated processing
3Manufacturing precision
If selective filtering based on depth is implemented, then three-dimensional appearance is enhanced, but device complexity increases
Solution Approach 1:
The system performs preliminary depth analysis and segmentation of the image into different depth regions before applying filters. By pre-identifying which pixels represent near and distant objects, the system prepares the necessary depth information in advance, allowing subsequent selective filtering to be applied efficiently without requiring complex real-time calculations during the filtering stage
Data Source
AI summary
Systems and methods for three-dimensional enhancement of two dimensional images are disclosed. One method includes the steps of selecting a first selection and a second selection within an image, the image including a plurality of pixels; calculating a scaling factor for each pixel in a set of pixels in the image based at least in part on the first and second selections, the scaling factor indicating a relative depth of a pixel; applying a filter to the set of pixels, the filter including at least one filter difference for each pixel in the set of pixels; generating a modified image at least by modifying a pixel attribute for each pixel in the set of pixels based at least in part on the scaling factor and the filter difference; and outputting the modified image.