Noise Reduction Apparatus with Edge Information Detection
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Solution Overview
Problem
Conventional noise reduction methods often blur edges in images and fail to correct edge discontinuities, leading to a lack of clarity in output images.
Innovation Solution
A noise reduction apparatus and method that includes a window setting module, edge-information detection module, and image processing module, which performs noise reduction and edge enhancement operations while reflecting edge information to prevent blurring and enhance image clarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If conventional noise reduction methods are applied, then noise is reduced, but edges become blurred and edge discontinuities occur
Solution Approach 1:
The patent applies different processing strategies to different regions of the image based on edge detection results. Non-edge regions undergo full noise reduction processing while edge regions are preserved with minimal processing to maintain sharpness. This local differentiation resolves the contradiction by allowing noise reduction in safe zones while protecting edge quality in critical zones.
Solution Approach 2:
The image is segmented into edge regions and non-edge regions through edge detection. This segmentation allows the system to apply noise reduction selectively - aggressive filtering in non-edge areas and conservative filtering in edge areas - thereby reducing noise overall while preserving edge clarity and avoiding blurring.
2Object-affected harmful factors
If noise reduction is applied to all image portions, then noise is reduced, but edge discontinuities are not corrected
Solution Approach 1:
The system uses edge detection feedback to continuously monitor and identify edge regions throughout the image processing pipeline. This feedback mechanism allows the noise reduction algorithm to adapt its strength based on the presence of edges, ensuring that noise is reduced while edge continuity is maintained and any edge discontinuities are corrected through selective processing.
Solution Approach 2:
The noise reduction processing dynamically adjusts its parameters based on local image characteristics detected through edge detection. In regions with detected edges, the processing becomes more conservative to maintain continuity, while in non-edge regions, more aggressive noise reduction is applied. This dynamic adaptation resolves the contradiction between noise reduction and edge continuity preservation.
Data Source
AI summary
Provided are a noise reduction apparatus having an edge enhancement function and a method thereof, in which edges in an input image can be prevented from being blurred when reducing noise in the input image and a clear output image can be obtained by reducing edge discontinuities. The noise reduction apparatus includes a window setting module which sets a portion of an input image as a window, an edge-information detection module which detects edge information regarding the window, an image processing module which performs an image processing operation on the window, and an output-image generation module which generates an output image by reflecting the edge information into one or more windows obtained by the image processing operation.