Edge-Aware Resolution Conversion With Reduced Pattern Circuit Scale
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Solution Overview
Problem
Existing image processing methods for high-resolution images, such as those at 2400×2400 dpi, require significant circuit scale enlargement due to increased pixel counts and the need for pattern matching, which does not adequately reduce circuit scale and can compromise smoothing effects.
Innovation Solution
An image processing device that calculates edge direction and intensity from image data of a first resolution and determines patterns for higher resolution conversion using filters and a reduced number of conversion patterns, reducing circuit scale while maintaining smoothing effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If pattern matching is performed with a large number of patterns and large window size to achieve adequate smoothing effect, then the smoothing quality is improved, but the circuit scale is enlarged
Solution Approach 1:
The patent divides the image processing into two distinct stages: first performing screen processing at 600 dpi, then performing resolution conversion to 2400 dpi. This segmentation allows each processing stage to operate at its optimal resolution, avoiding the need to perform complex pattern matching at full high resolution, thereby reducing circuit scale while maintaining smoothing quality
Solution Approach 2:
The patent applies different processing methods to different regions of the image based on edge detection results. Edge portions are processed with pattern matching using edge direction and intensity information, while non-edge portions use standard resolution conversion. This local quality approach ensures adequate smoothing at edges without unnecessarily increasing circuit scale for the entire image
2Device complexity
If screen processing is performed at 600 dpi and then pattern matching is used for resolution conversion, then the circuit scale is restricted, but the smoothing effect becomes inadequate
Solution Approach 1:
The patent performs screen processing at 600 dpi as a preliminary step before resolution conversion to 2400 dpi. This preliminary action prepares the image data in advance, and then edge detection is performed to identify regions requiring enhanced smoothing. Pattern matching is selectively applied to edge portions using the pre-processed 600 dpi data, achieving adequate smoothing effect while restricting circuit scale
Solution Approach 2:
The patent changes the processing parameters dynamically based on edge detection results. For edge portions, pattern matching with specific window sizes and patterns is applied, while for non-edge portions, standard nearest-neighbor or bilinear interpolation is used. This parameter change approach maintains smoothing quality at edges without increasing circuit scale for the entire processing system
3Manufacturing precision
If high resolution image processing is performed directly at 2400 dpi, then the image quality is improved, but the number of pixels increases and circuit scale is enlarged
Solution Approach 1:
The patent segments the resolution conversion process into multiple stages: first performing screen processing at 600 dpi, then performing resolution conversion to 2400 dpi with selective pattern matching. This segmentation avoids processing all pixels at full high resolution simultaneously, reducing the number of pixels that need to be processed at once and thereby restricting circuit scale while maintaining high image quality
Solution Approach 2:
The patent applies high-resolution pattern matching only to edge portions of the image where it is most needed for quality, while using simpler interpolation methods for non-edge portions. This local quality approach ensures high image quality at critical regions without unnecessarily increasing circuit scale for processing the entire image at full resolution
Data Source
AI summary
An image processing device configured to convert image data of a first resolution into image data of a second resolution higher than the first resolution includes at least one memory, and at least one processor in communication with the at least one memory and configured to cooperate with the at least one memory to calculate a direction and an intensity of an edge from the image data of the first resolution, and determine a pattern for the image data of the second resolution to be replaced by pixels of the image data of the first resolution, based on the direction and the intensity of the edge.