Image Processing Device Adaptive Compression Capsule Endoscopy
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Solution Overview
Problem
Conventional image processing devices for capsule endoscopes face inefficiencies in data reduction and power consumption during image transmission, as they lack a method to dynamically adjust data compression based on the importance of image regions, leading to suboptimal image quality and increased transfer times.
Innovation Solution
An image processing device that includes pre-processing, importance judging, and data reduction components, which divide images into regions, assess their importance, and apply pixel thinning and low-pass filtering based on importance levels, varying the reduction rate from the periphery to the center, thereby optimizing data compression and power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If uniform compression is applied to all image regions, then the compression process is simple, but important image details are lost and image quality deteriorates
Solution Approach 1:
The patent applies different compression rates to different image regions based on their importance. The center region (containing important diagnostic information) is compressed at a lower rate to preserve quality, while peripheral regions are compressed at higher rates. This resolves the contradiction by making the compression process adaptive to local image characteristics rather than uniform.
Solution Approach 2:
The patent divides the endoscopic image into multiple regions (center and peripheral zones) with different importance levels. By segmenting the image and applying region-specific compression strategies, the system maintains high quality in critical areas while achieving overall data reduction, thus resolving the contradiction between quality preservation and compression effectiveness.
2Productivity
If high compression rate is applied to all images, then data transmission speed increases, but power consumption increases and image quality decreases
Solution Approach 1:
The patent implements variable compression rates across different image regions, applying stronger compression only to less important peripheral areas while maintaining lower compression in the center region. This selective approach reduces overall data volume (improving transmission speed) without uniformly compromising image quality, and avoids the excessive power consumption that would result from applying high compression everywhere.
3Quantity of substance
If high compression rate is applied to all images, then data amount is reduced, but transfer time increases due to processing overhead
Solution Approach 1:
By applying different compression rates to different regions, the patent achieves effective data reduction in peripheral areas without the excessive processing overhead that would result from uniformly high compression. This balanced approach reduces overall data amount while maintaining reasonable transfer times by avoiding unnecessary aggressive compression in already small or less critical regions.
Data Source
AI summary
In this image processing device, an image processing portion 102 performs a predetermined pre-processing on first image data and outputs it as second image data. A judging portion 104 that judges the degree of importance of the first image data on the basis of the characteristics of a subject that is included in the first image data. A reducing portion 105 reduces the data amount of the second image data in accordance with that degree of importance and outputs it as third image data. According to this image processing device, by reducing the data amount of the second image data in accordance with the degree of importance of the first image data, it is possible to achieve greater reductions in the data amount as the degree of importance decreases. As a result, it is possible to more efficiently reduce the power consumption and time required when transferring image data after data reduction.