Image Processing Method Vertical Horizontal Scaling Sharpening
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Solution Overview
Problem
High resolution monitors face image quality deterioration when displaying SD images, requiring image sharpening, which necessitates increased tap counts in sharpness circuits and larger line buffers, leading to higher storage demands.
Innovation Solution
An image processing method that performs vertical and horizontal scaling and sharpening in sequence, allowing for vertical sharpening with more taps using line buffers of shorter data lengths, thereby reducing storage requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the sharpness circuit has more taps to maintain image quality at higher resolutions, then the line buffers must have larger storage capacities, but this increases storage requirements and manufacturing costs
Solution Approach 1:
The patent segments the image processing into separate vertical and horizontal scaling and sharpening operations. By performing vertical processing first with vertical line buffers, then horizontal processing with horizontal line buffers, the system avoids needing a single large buffer that would require storing all intermediate data at full resolution. Each buffer only needs to store data for its specific processing direction, reducing total storage requirements while maintaining image quality through adequate tap counts in each direction.
2Manufacturing precision
If the resolution of the sharpened image increases, then the sharpness circuit must have more taps to maintain quality, but this leads to larger line buffer storage capacities
Solution Approach 1:
The patent introduces a temporal dimension to the processing by separating vertical and horizontal operations into distinct stages. Vertical scaling and sharpening are performed first, producing an intermediate image, followed by horizontal scaling and sharpening. This dimensional separation allows each processing stage to use optimized buffer sizes appropriate for its specific operation, rather than requiring a single large buffer to handle all operations simultaneously at the final high resolution.
Data Source
AI summary
An image processing method for processing an input image is provided. The image processing method includes: performing a plurality of first imaging processing operations on the input image to generate a first image; and performing a plurality of second imaging processing operations on the first image. Each of the first imaging processing operations is along a first direction, and the plurality of first imaging processing operations include a first scaling operation for increasing resolution. Each of the second imaging processing operations is along a second direction different from the first direction, and the plurality of second imaging processing operations include a second scaling operation for increasing resolution.