Downscaling cokriging for image sharpening

Downscaling cokriging for image sharpening

The main aim of this paper is to show the utility of cokriging for image fusion (i.e. increasing the spatial resolution of satellite sensor images). It is assumed that co-registered images with different spatial and spectral resolutions of the same scene are available and the task is to generate new remote sensing images at the finer spatial resolution for the spectral bands available only at t...

Downscaling Climate Models: Sharpening the Focus on Local-Level Changes

Recursive phase estimation for image sharpening

Sharpness maximisation is a method that can be used to correct phase errors in images. In this paper we present a new recursive method to estimate the phase correction required for maximum image sharpness using the square of image pixel intensity metric S2. This method avoids the optimisation step required by other image sharpening approaches. We also present a similar algorithm based on the so...

Image sharpening by morphological filtering

In this paper we introduce a class of morphological operators with applications to sharpening digitized grey valued images. We introduce t.he underlying partial differential equation (PDE) that governs this class of operators. For discrete implementations of the operator class! we show that instances utilizing a parabolic structuring function, have special properties that lead to an efficient i...

Color image enhancement based on perceptual sharpening

In this paper we present a sharpening operator for color images that is based on perceptual considerations about how human visual behaves for color scenes. Color contrast is an induction phenomenon of the visual system that varies the chromaticity of a color region depending on the color of its surround, provoking an enhanced perception of color scenes. This effect can be simulated by a sharpen...