Method for robust demarcation of the basal cell carcinoma (BCC) is presented employing novel dependent component analysis (DCA)-based approach to unsupervised segmentation of the red-green-blue (RGB) fluorescent image of the BCC. It exploits spectral diversity between the BCC and the surrounding tissue. DCA represents an extension of the independent component analysis (ICA) and is necessary to ...

Multispectral imaging is highly demanded for precise color reproduction and for various computer vision applications. Multispectral imaging with a multispectral color filter array (MCFA), which can be considered as a multispectral extension of commonly used consumer RGB cameras, could be a simple, low-cost, and practical system. A challenge of the multispectral imaging with the MCFA is multispe...

In this paper, we propose a effective fog-free methodology for remove fog from input image.In our method, firstly, the original image is converted from RGB to YCbCr. Secondly, compute the intensity component of the YCbCr image and key observation of the all pixels of the image. Most local patches in fog-free outdoor images contain some pixels which have very low intensities in at least one colo...

A new method of contrast enhancement based on steerable pyramid transform is presented in this work. The use of steerable filters is motivated by the fact that the images are to be observed by human and therefore it would be better to incorporate some knowledge on the Human Visual System in the design of the image processing tool. Here, the frequency and directional selectivity of the HVS is mo...

In this paper a robust method for color image restoration is proposed. The proposed method is a multichannel extension of a technique (i.e. statistical morphology) proposed in literature for restoring monochromatic images and it takes into account that RGB components of a multichannel image are not completely independent. In this paper the advantages of using the proposed method with respect to...

Color constancy in color image segmentation is an important research issue. In this paper we develop a framework, based on the Dichromatic Re ection Model for asserting the color highlight and shading invariance, and based on a Markov Random Field approach for segmentation. A given RGB image is transformed into a R'G'B' space to remove any highlight components, and only the vector-angle compone...

A new method of color image segmentation is proposed in this paper. It’s based on K-means algorithm in HSI space and has the advantage over those based on the RGB space. Both the hue and the intensity components are fully utilized. In the process of hue clustering, the special cyclic property of the hue component is taken into consideration. The paper gives the definition of the distance and th...

Digital watermarks are imperceptible signals additively embedded in image, video or audio data. Ongoing research has largely concentrated on embedding watermarks in scalar data. Here we introduce a non-linear watermarking scheme for multi-variate data that deliberately perturbs an angle formed between associated variables. Our application embeds a spread-spectrum based watermark in the hue comp...

In this paper, fractal monochrome image compression technique proposed by Jacquin is investigated for 24-bit true color image by encoding the RGB components' images independently. To exploit the spectral redundancy in RGB components, the root mean square error distortion measure in grayscale space is extended to 3-dimensional color space for fractal-based color image coding. Experimental result...

Extra band information in addition to the RGB, such as the near-infrared (NIR) and the ultra-violet, is valuable for many applications. In this paper, we propose a novel color filter array (CFA), which we call “hybrid CFA,” and a demosaicking algorithm for the simultaneous capturing of the RGB and the additional band images. Our proposed hybrid CFA and demosaicking algorithm do not rely on any ...