Two-Stage Image Downsampling for Texture Retention
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Solution Overview
Problem
Current image downsampling methods, such as nearest neighbor and linear interpolation, result in significant texture loss, reducing the display effect of downsampled images due to the direct reduction of image resolution from original to target resolution without utilizing all pixels, leading to missing information in the downsampled image.
Innovation Solution
A device and method that downsample an image in two stages: first to an intermediate resolution and then to the target resolution, using sub-rates that multiply to the original downsampling rate, ensuring all pixels are utilized in the first stage to retain texture information and achieving continuous detail texture changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If direct downsampling from original resolution to target resolution is performed, then processing efficiency is improved, but texture information is lost
Solution Approach 1:
The patent divides the single downsampling process into two sequential stages: first downsampling from original resolution to intermediate resolution, then from intermediate resolution to target resolution. This segmentation allows the system to utilize all pixels in the first stage while achieving the final resolution requirement in the second stage, thereby resolving the contradiction between processing efficiency and texture information retention.
2Device complexity
If single-stage downsampling is used, then device complexity is reduced, but display effect deteriorates
Solution Approach 1:
The patent implements two-stage downsampling with an intermediate resolution step. The first stage downsamples from original to intermediate resolution using all pixels, and the second stage downsamples from intermediate to target resolution. This segmented approach improves display effect by retaining texture information while maintaining acceptable device complexity through a systematic two-step process.
Data Source
AI summary
The present disclosure provides a device, a method and a program for processing an image. The device for processing the image includes: a data processing unit configured to obtain an original image, to downsample the original image at a first sub-rate to obtain a transitional image, and to downsample the transitional image at a second sub-rate to obtain a target image. The first sub-rate and the second sub-rate are obtained by dividing a downsampling rate of the original image, and a product of the first sub-rate and the second sub-rate is equal to the downsampling rate. The device, the method and the program for processing the image not only can better retain texture information of the original image in the process of downsampling the original image, but also can cause the change of detail textures in the image to be continuous in the process of continuous change of the sampling rate, thereby improving a display effect of an filtered image.