Selective Image Quality Enhancement Using Characteristic Region Segmentation
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Solution Overview
Problem
Existing image processing systems face increased operational costs and inefficiencies when reconstructing or rendering high-quality images, as they often require significant processing power to enhance the entire image quality uniformly.
Innovation Solution
An image processing system that selectively enhances characteristic regions by using a model-based approach, where characteristic regions are identified and enhanced using character parameters, while the background regions are compressed at a higher rate, reducing overall processing load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the entire region of an image is reconstructed or rendered in high image quality, then the image quality is improved, but the amount of operation incurred for the processing increases
Solution Approach 1:
The patent applies local quality by differentiating processing between characteristic regions and other regions. The image processing apparatus identifies characteristic regions containing objects of interest and applies high-quality reconstruction only to these regions, while using lower-quality processing for the remaining background areas. This selective approach maintains high image quality where needed while reducing overall processing operations.
Solution Approach 2:
The patent segments the image into characteristic regions and non-characteristic regions based on object detection. By dividing the image processing task into these segments, the system can apply different processing intensities to different segments, thereby improving efficiency without sacrificing quality in important areas.
2Manufacturing precision
If high image quality is achieved throughout the entire image, then the image quality is improved, but the processing time increases
Solution Approach 1:
The system applies high-quality reconstruction only to characteristic regions containing objects of interest, while using faster, lower-quality processing for background regions. This localized approach reduces total processing time while maintaining high image quality where it matters most.
Solution Approach 2:
The patent implements partial action by applying high-quality processing only to the necessary portion of the image (characteristic regions) rather than the entire image. This partial processing approach significantly reduces processing time while still achieving the desired image quality for the important content.
Data Source
AI summary
An image processing system capable of reducing an operation time required to generate a high image quality image, includes an image obtaining section that obtains an input image having been captured; a characteristic region information obtaining section that obtains information indicating a characteristic region in the input image; a model storage section that stores a model representing an object by a character parameter; an image generating section that converts an image of an object included in the characteristic region in the input image into a high image quality image having an image quality higher than an image quality of the input image, by adapting the image of the object included in the characteristic region in the input image to the model; and an output section that outputs an image including the high image quality image and an image other than the characteristic region.