In this paper a novel adaptive noise attenuating and edge enhancing filter for color image processing is proposed. The new filtering design is based, like the vector median filter, on the minimization of aggregated weighted distances between pixels in a sliding filtering window. The weights which are assigned to the sequence of the sorted distances are decreasing functions of their ranks. In th...

This paper proposes a new method for automatic improvement in image quality through adjusting the image sharpness. This method does not need prior knowledge about image blur. To accomplish this work, the authors developed a new method for evaluating image sharpness without MTF. This is called image "edge sharpness* value. According to the subjective experiments, optimal edge sharpness value for...

Satellite data has been successfully used for various applications. Satellite images of different spatial resolutions are commercially available. But most times available satellite images are in compressed form, also of very small size and low resolution. This makes quite difficult to read useful data from an images for particular application. To overcome this difficulty we can preprocess that ...

A fast, color-based algorithm for unknown illuminant is presented. of the object's color distribution R, G and B denote the 3 color 1: recognizing objects and textures viewed under an Objects are indexed by six numbers: the angles and the angles of the color edge distributions. If )ands of the image of an object (stretched out as vectors) then the color angular index comprises the 3 inter-band ...

A method for sharpening of 3D volume images has been developed. The idea of the proposed algorithm is to transform the 3D neighborhood of the edge so that the neighboring pixels move closer to the edge, and then resample the image from the warped grid to the original pixel grid. The proposed technique preserves image textures while making the edges sharper. The effectiveness of the proposed met...

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...

With general purpose denoisers approaching performance limits, we turn our attention to methods targeted to specific tasks or image classes. Using the recent plug-and-play (PnP) framework, we plug a denoiser based on Gaussian mixture models (GMM) into the iterations of an alternating direction method of multipliers (ADMM), to tackle a data fusion problem known as image sharpening. Results show ...

The novel approach to the image sharpening problem is proposed in this paper. It is based on the application of the independent component analysis (ICA) algorithm on the image sequence with the appropriate time displacement between the image frames. The novelty is in the data representation required by the ICA algorithms where each selected image frame has been used as a sensor implying that un...

In real time remote sensing it is necessary to know the quality of images obtained from the different satellite sensors. Pan-sharpening enhances the spatial information of input raw multispectral images. This paper focuses on the evaluation and analysis of eight frequently used image quality assessment methods to determine the preservation of spectral and spatial integrity in the pan-sharpened ...