Image Magnifying Apparatus Selecting Interpolation Methods
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Solution Overview
Problem
Existing image magnifying apparatuses face challenges in selecting optimal interpolation methods for both natural and graphic images, leading to issues like bokeh/blur phenomena and unnatural image quality, especially when both types of images are present together or when specific image features like patterns or characters are involved.
Innovation Solution
An image magnifying apparatus that selects between two interpolation methods based on local characteristics of the input image, using a processor to determine whether to apply a method emphasizing high-band frequencies for natural images or not, thereby reducing bokeh/blur and maintaining edge quality for graphic images, by analyzing reference areas and calculating difference values between pixels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a first interpolation method based on high-band spectrum is applied to all image regions, then natural images with high-frequency components are magnified with good quality, but graphic images with patterns or characters produce bokeh/blur phenomena and unnatural edge effects
Solution Approach 1:
The patent applies different interpolation methods to different regions of the image based on local characteristics. The processor identifies whether each interpolation target position is in a pattern region or non-pattern region, and selectively applies the first interpolation method (based on high-band spectrum) only to non-pattern regions while using the second interpolation method for pattern regions, thereby achieving high-quality magnification for natural images while preventing bokeh/blur effects in graphic images with patterns or characters
Solution Approach 2:
The patent changes the interpolation method parameter based on the local image characteristics. By detecting whether the high-band spectrum exceeds a threshold value at each interpolation target position, the system dynamically switches between two different interpolation methods, optimizing the magnification quality for different types of image content without manual intervention
2Object-affected harmful factors
If a second interpolation method not based on high-band spectrum is applied to all image regions, then graphic images with patterns or characters are magnified without bokeh/blur, but natural images lose high-frequency details and appear blurry
Solution Approach 1:
The patent applies different interpolation methods to different regions of the image based on local characteristics. The processor identifies whether each interpolation target position is in a pattern region or non-pattern region, and selectively applies the first interpolation method (based on high-band spectrum) only to non-pattern regions while using the second interpolation method for pattern regions, thereby achieving high-quality magnification for natural images while preventing bokeh/blur effects in graphic images with patterns or characters
Solution Approach 2:
The patent changes the interpolation method parameter based on the local image characteristics. By detecting whether the high-band spectrum exceeds a threshold value at each interpolation target position, the system dynamically switches between two different interpolation methods, optimizing the magnification quality for different types of image content without manual intervention
3Adaptability or versatility
If a single interpolation method is used for all image types, then the device complexity is low, but the adaptability to different image characteristics (natural vs. graphic images) is poor
Solution Approach 1:
The patent performs preliminary detection of image characteristics before applying the interpolation method. The processor calculates the high-band spectrum for each interpolation target position and compares it against a threshold to determine whether the region contains patterns or characters, and only then selects the appropriate interpolation method, avoiding the need for complex post-processing or multiple processing passes
Solution Approach 2:
The patent changes the interpolation method parameter based on the local image characteristics. By detecting whether the high-band spectrum exceeds a threshold value at each interpolation target position, the system dynamically switches between two different interpolation methods, optimizing the magnification quality for different types of image content without manual intervention
Data Source
AI summary
An image magnifying apparatus includes a processor configured to execute non-transitory machine readable instructions to configure the processor to, receive the image data, generate a first interpolation pixel between pixels of the image data, by applying a first interpolation method based on a high-band spectrum of the image data, generate a second interpolation pixel between pixels of the image data, by applying a second interpolation method not based on the high-band spectrum of the image data, identify a pattern of pixels of the image data by extracting peripheral pixels of an interpolation object position in the image data, select whether to apply the first interpolation method to the interpolation object position or whether to apply the second interpolation method to the interpolation object position, and output one of the first interpolation pixel and the second interpolation pixel, as an output interpolation pixel, based on the selection.