Image Processing Apparatus Characteristic Point Extraction
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Solution Overview
Problem
High-resolution digital image processing, such as 4K and 8K, increases processing time and electric power consumption due to extensive signal processing requirements for white balance, black level adjustment, and gamma correction, with existing technologies not efficiently addressing these issues.
Innovation Solution
An image processing apparatus that extracts characteristic points from input images, performs signal processing on these points, and interpolates values for other pixels, reducing the number of processing repetitions and enhancing processing speed while minimizing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If signal processing is performed for all pixels in high-resolution images, then processing accuracy is maintained, but processing time and electric power consumption increase significantly
Solution Approach 1:
The patent divides the image into multiple blocks and identifies characteristic points within each block. Instead of processing all pixels, only characteristic points are selected for signal processing (white balance, gamma correction, etc.), while other pixels are processed using interpolation. This segmentation approach maintains processing accuracy at characteristic points while significantly reducing the total number of processing operations required for high-resolution images.
Solution Approach 2:
The patent extracts and processes only the essential characteristic points that represent the image content, rather than processing every pixel. By identifying and processing only these key points (through differential processing and threshold comparison), the system maintains image quality while reducing processing time and power consumption for high-resolution images.
2Reliability
If signal processing is performed for all pixels in high-resolution images, then complete image processing is achieved, but electric power consumption increases
Solution Approach 1:
The patent segments the image into blocks and identifies only characteristic points within each block for full signal processing. Other pixels are handled through interpolation from characteristic points, ensuring processing completeness is maintained while significantly reducing the number of pixels requiring intensive signal processing operations, thereby lowering electric power consumption.
Solution Approach 2:
The patent applies partial action by performing complete signal processing only on characteristic points (a subset of pixels) rather than all pixels. The remaining pixels are processed through interpolation, which requires less computational power. This approach ensures sufficient processing completeness for image quality while reducing overall electric power consumption.
3Measurement precision
If image resolution is heightened to 4K or 8K, then image quality is improved, but the total amount of calculation for signal processing increases
Solution Approach 1:
The patent divides high-resolution images into multiple blocks and identifies characteristic points within each block. By processing only these characteristic points through full signal processing (white balance, gamma correction, KNEE correction) and using interpolation for other pixels, the system maintains image quality at 4K/8K resolutions while significantly reducing the total calculation amount compared to processing every pixel.
Solution Approach 2:
The patent extracts only the essential characteristic points from high-resolution images for intensive signal processing. By identifying these key points through differential processing and threshold comparison, and processing only them rather than all pixels, the system maintains high image quality while reducing the computational complexity associated with 4K and 8K image processing.
4Measurement precision
If signal processing is performed for all pixels, then accurate image processing is achieved, but the number of processing repetitions is large
Solution Approach 1:
The patent segments the image into blocks and identifies characteristic points within each block for signal processing. By processing only these characteristic points and using interpolation for remaining pixels, the system maintains image processing accuracy while significantly reducing the number of processing repetitions, thereby improving processing speed for high-resolution images.
Solution Approach 2:
The patent extracts only the essential characteristic points that represent the image content for full signal processing. By identifying and processing only these key points (through differential processing and threshold comparison) rather than all pixels, the system maintains processing accuracy while reducing the number of processing repetitions, thus enhancing processing speed.
Data Source
AI summary
An image processing apparatus includes a characteristic point extracting section and a signal processing section. The characteristic point extracting section is configured to analyze a frequency component of an inputted image and extracts a plurality of pixels characterizing the image as a plurality of characteristic points. The signal processing section is configured to perform signal processing for the plurality of extracted pixels corresponding to the respective characteristic points, produces an interpolated value based on a result of the signal processing, and rewrites a value of at least one pixel other than the characteristic points to the interpolated value.