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...

The work presented in this paper shows how a simple algebraic manipulation of the RGB colour channels of an artificial vision system can significantly improve the performance of an objectlocating mechanism based on unsupervised clustering. The proposed image processing and clustering mechanism forms the first part of a noveltydetecting robot controller. Experiments with two different connection...

The problem of segmentation is an important research field and often a critical and decisive preprocessing step for many image processing applications. During the past years, the use of colour images instead of gray images is growing fast in many research areas. Moreover, the use of segmentation over colour images is advised when additional colour information conveyed is necessary to further di...

In this paper, a denoising approach, which exploits patchredundancy for removing Gaussian noise from RGB color images is described. Both geometrical and photometrical similarity of image patches have to be considered for learning the parameters of this Patch-based Locally Optimal Weiner(PLOW) filer. K-means clustering,with LARK(Locally Adaptive Regression Kernel) features, is used to identify t...

With rapid advances in digital image processing technology, there is a massive development of sophisticated tools and techniques for digital image forgery. Copy-move forgery is one of the techniques most commonly used. A part of an image is copied and pasted into the same image, in order to maliciously hide or clone an object or a region. In this paper, we propose a method that addresses this k...

In this paper we propose a new watermarking schema i.e. the combination of color space and wavelet transform. Watermarking is a technique that authenticates a digital picture by hiding the secret information into the image. Now, a lot of algorithms and methods have been developed for greyscale images but the particularities of color spaces have to be studied. On the other hand, the wavelet tran...

This study presents a method of scheming colour image by using fuzzy watermarking through Discrete Wavelet Transform (DWT) and histogram stretching methods. This study aims further at achieving and developing robustness, imperceptibility and available capacity of cover image for the watermarked image, which can withstand against various attacks. Digital watermarking techniques are used to prote...

Understanding and comparing images for the purposes of data analysis is currently a very computationally demanding task. A group at Australian National University (ANU) recently developed open-source code that can detect fundamental topological features of a grayscale image in a computationally feasible manner. This is made possible by the fact that computers store grayscale images as cubical c...

In this paper, a denoising approach, which exploits patchredundancy for removing Gaussian noise from RGB color images is described. Both geometrical and photometrical similarity of image patches have to be considered for learning the parameters of this Patch-based Locally Optimal Weiner(PLOW) filer. K-means clustering,with LARK(Locally Adaptive Regression Kernel) features, is used to identify t...