Abstract The resolution of cameras is increasing, and speedup various image processing required to accompany this increase. A simple way acceleration the at low then upsampling result. Moreover, when we can use an additional high-resolution as guidance formation for upsampling, upsample results more accurately. We propose approach accelerate by downsampling joint upsampling. This paper utilizes...

since the birth of multi–spectral imaging techniques, there has been a tendency to consider and process this new type of data as a set of parallel gray–scale images, instead of an ensemble of an n–d realization. although, even now, some researchers make the same assumption, it is proved that using vector geometries leads to better results. in this paper, first a method is proposed to extract th...

rust caused by phakopsora pachyrhizi syd. is a major constraint to soybean product in asia. early detection and possibilities of controlling plant diseases by the integration of several image processing methods has been the subject of extensive research. the main contribution of this paper is to present different methodologies for quantitatively detecting soybean rust at each stage of disease d...

sensors onboard meteorological satellites such as modis and avhrr are able to collect information adequate in frequency but with low spatial resolution. the problem can be overcome, if one finds a way to increase the quality of the vegetation indices through searching in each individual pixel of the images, employing concurrent higher spatial resolution images. the objective of this study was t...

hyperion hyperspectral data contains a very rich source of information from the earth surface that collects 242 narrow contiguous spectral bands. achieving this source of rich information is subject to the performance of suitable image processing methods on raw satellite data. satellite image processing methods can be classified into two categories of statistical-based and spectral-based. in th...

The local linear learned (L3) algorithm is presented that simultaneously performs the demosaicking, denoising, and color transform calculations of an image processing pipeline for a digital camera with any color filter array. © 2011 Optical Society of America OCIS codes: 040.1490, 100.2000.

This paper is a tutorial introduction to local linear and nonlinear filters. Their usefulness in a variety of common image processing tasks is discussed.