Image Processing Noise Suppression via Row Resolution Segmentation
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Solution Overview
Problem
Existing image processing methods for suppressing column and row noise at various frequencies incur high computational costs due to the need for repeated noise estimating and suppressing processes, especially when enlarging the reference pixel range.
Innovation Solution
The method generates multiple lower-resolution images by changing the resolution in the row direction, computes differential images, and uses statistical quantities from these images to calculate correction amounts for pixel values, thereby reducing computational costs while effectively suppressing noise across various frequencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the reference pixel range is enlarged to suppress noise at various frequencies, then noise suppression effectiveness is improved, but computational cost increases
Solution Approach 1:
The patent segments the image processing into multiple passes, each handling a specific frequency range. By dividing the frequency spectrum into bands and processing each band separately with appropriate reference ranges, the method achieves comprehensive noise suppression without requiring a single large reference range that would be computationally expensive.
Solution Approach 2:
The patent dynamically adjusts the reference pixel range based on the frequency characteristics of the noise being suppressed. Different frequency ranges use different reference ranges, allowing the system to optimize computational resources by using smaller reference ranges for high-frequency noise and larger ranges only when necessary for low-frequency noise.
2Reliability
If repeated noise estimating and suppressing processes are performed to suppress noise at various frequencies, then noise suppression effectiveness is improved, but processing time increases
Solution Approach 1:
The patent divides the noise suppression process into frequency-based segments, where each segment handles a specific frequency range with a single estimation and suppression operation. This eliminates the need for repeated full-range processing while still achieving suppression across all frequencies through the segmented approach.
Solution Approach 2:
The patent applies partial action by performing noise estimation and suppression only for the specific frequency range needed in each processing pass, rather than repeatedly processing the entire frequency spectrum. This reduces the total number of operations while maintaining comprehensive noise suppression coverage.
Data Source
AI summary
An image processing apparatus 10 includes a first generation unit 11 which generates a plurality of lower-resolution images having different row-direction resolutions by changing a resolution in a row direction of an image to be processed to a plurality of lower resolutions, a second generation unit 12 which generates a differential image by taking a difference between two of the plurality of lower-resolution images, and a computation unit 13 which computes a correction amount for the pixel values of a predetermined column of the image to be processed by use of a statistical quantity of the pixel values of a predetermined column of the differential image.