Asymmetric Image Filtering for Region-Based Processing
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Solution Overview
Problem
Current image processing technologies face challenges in efficiently reflecting the intentions of image producers, performing window-based image processing quickly with minimal computing resources, and restoring high-resolution images from low-resolution images while maintaining image quality.
Innovation Solution
An image processing apparatus and method that divides images into regions and applies asymmetric and symmetric filters iteratively, using filtering windows of different sizes to enhance image quality and focus levels, with the ability to determine focus states and apply appropriate filters based on meta data such as aperture values and focal distances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If window-based image processing is performed using conventional methods, then image processing can be performed on image data, but it requires significant computing resources and time, reducing processing speed and efficiency
Solution Approach 1:
The image processing apparatus divides the image into multiple regions of interest (ROIs) based on focus levels determined from metadata such as aperture values and focal distances. By segmenting the image and applying filtering operations only to relevant regions rather than the entire image, the processing speed is improved while computing resource consumption is reduced.
Solution Approach 2:
The patent applies different filtering operations to different regions of the image based on their focus levels. Regions with different focus characteristics receive tailored processing, which improves overall processing efficiency by avoiding uniform application of computationally intensive operations across the entire image.
2Productivity
If asymmetric filtering windows are used to improve processing efficiency, then computing resources are reduced, but image quality and focus accuracy may be compromised
Solution Approach 1:
The patent employs asymmetric filtering windows that are adapted to the directional characteristics of image features and the specific focus state of each region. This asymmetry allows the filter to better capture edge orientations and feature directions, maintaining image quality and focus accuracy while improving processing efficiency by concentrating computational effort where it is most needed.
3Manufacturing precision
If multiple filtering operations are applied iteratively to enhance image quality, then image quality and focus accuracy improve, but processing time and resource consumption increase
Solution Approach 1:
The image processing apparatus performs preliminary determination of focus levels and identification of regions of interest using metadata before applying iterative filtering operations. This preliminary action allows the system to pre-select which regions require intensive processing, thereby reducing overall processing time while maintaining image quality through targeted iterative filtering.
Solution Approach 2:
The patent applies iterative filtering operations selectively to only those regions that require enhancement based on their focus levels, rather than applying the full iterative process to the entire image. This partial action approach maintains image quality in critical regions while significantly reducing processing time and resource consumption.
Data Source
AI summary
The present disclosure relates to an image processing apparatus and method and decoding apparatus. The image processing apparatus may comprises a receiver for receiving an image and an image processor for dividing the image into a plurality of regions, and performing filtering by iteratively applying at least one filter to each of the plurality of regions in the image, wherein the at least one filter comprises an asymmetric filter that uses an asymmetric filtering window having height and width in different size.