Abstract
A number of conventional interpolation techniques have been proposed. However, it seems that there do not exist good criteria for the design of optimal linear interpolators. Also, such an interpolator can hardly provide a satisfactory solution for interpolating noisy images. In this paper, the novelty of this research is that a universal approach is proposed to design an image interpolator with any one image smoothing filter, thereby not only interpolating a down-sampled image but also preserving the characteristics of the performing filtering.
Highlights
As known, the process of decimation or down-sampling is an effective way aid often used to reduce image sizes, reducing the amount of information transmitted through the communication channels and the local storage requirements, while trying to preserve as much as possible the image quality
The novelty of this research is that a universal approach is proposed to design an image interpolator with any one image smoothing filter, thereby interpolating a down-sampled image and preserving the characteristics of the performing filtering
The novelty of this research is that a universal approach is proposed to design an image interpolator with any one image smoothing filter, thereby interpolating a down-sampled image and preserving the characteristics of the used filter
Summary
The process of decimation or down-sampling is an effective way aid often used to reduce image sizes, reducing the amount of information transmitted through the communication channels and the local storage requirements, while trying to preserve as much as possible the image quality. Decimation and interpolation are used for several purposes in many practical applications, such as progressive image transmission systems, image zooming, photographic enlarging, image reconstruction, optical scanners, high resolution printer, and in multi-media applications which require browsing or retrieval of images from the internet or image and video databases Image interpolation is performed by pixel replication in a small neighborhood of each existing pixel This is equivalent to a first-order linear filter. The performance can be slightly improved by employing higher-order linear filters [4] [5] [6] It seems that there do not exist good criteria for the design of optimal linear interpolators.
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