subpixel image processing

Spectral-based approach to subpixel image formation

Current approach to the increase of the resolution is based on receiving images from several image sensor arrays shifted by subpixel distance [1, 2]. The analysis of the image forming process has shown that a pixel aperture works as a low-pass spatial filter and decreases spatial resolution even if several image sensors shifted by subpixel distance are used. The proposed by the authors approach uses both shifted image sensor arrays and data processing based on inverse filtering.

Subpixel image processing in monitoring systems of visible wavelengths

This paper is devoted to considering of ways to improve the resolution, principles and methods of subpixel imaging technology, assessment of the development status and the latest research developments. Modern approaches to improving the spatial resolution as the main parameter of satellite images are based on algorithmic search and design solutions as the technology of manufacturing image sensors exhaust its potential for improvement. One of the major tasks of remote monitoring is to improve the quality of images, which is determined by parameters such as resolution.

Improving the Resolution of Multispectral Images by Subpixel Processing Method

The methods, their advantages and disadvantages, of fusion a low-resolution multispectral and panchromatic high-resolution image in high-resolution color image are considered. Is proposed a method to provide high-resolution, which is based on the use of sub-pixel processing, the essence of which is the handling of input data in the form of a CCD sensor arrays shifted by a half pixel with respect to each other.