Asst. Prof. Dr. Gholamreza Anbarjafari (Shahab) received his B.Sc., M.Sc., and Ph.D. degrees from Department of Electrical and Electronic Engineering at Eastern Mediterranean University (EMU), Famagusta, Cyprus, in 2007, 2008, 2010 respectively. He has been working in the field of image processing and is currently focusing in many research works related to face recognition/tracking, image enhancement, super resolution, image compression, watermarking, and low-bit rate video coding. Some of his projects have been awarded several prizes from the EMU Technopark. He was a research assistant at EMU and has worked as an Asst. Prof. at Cyprus International University and Hasan Kalyoncu University. He is currently working as an Asst. Prof. in Institute of Technology at University of Tartu.
This research work proposes a satellite image enhancement system consisting of image denoising an... more This research work proposes a satellite image enhancement system consisting of image denoising and illumination enhancement technique based on dual tree complex wavelet transform (DT-CWT). The technique firstly decomposes the noisy input image into different frequency subbands by using DT-CWT and denoises these subbands by using local adaptive bivariate shrinkage function (LA-BSF) which assumes the dependency of subband detail coefficients. In LA-BSF, model parameters are estimated in a local neighborhood which results in improved denoising performance. Then the denoised image once more is decomposed into the different frequency subbands by using DT-CWT. The highest singular value of the low frequency subbands are used in order to enhance the illumination of the denoised image. Finally the image is reconstructed by applying the inverse DT-CWT (IDT-CWT). The experimental results show the superiority of the proposed method over the conventional and the state-of-art techniques.
Abstract In this paper, we propose a multi-frame video resolution enhancement technique based on ... more Abstract In this paper, we propose a multi-frame video resolution enhancement technique based on dual tree complex wavelet transform (DT-CWT). Here, before registration step, the respective frames have been passed through an illumination compensation procedure which is based on singular value decomposition (SVD) and discrete wavelet transform (DWT). The frame subject to the resolution enhancement is decomposed into its different frequency subbands by using DT-CWT. The high frequency subbands have been ...
Abstract In this paper a new face recognition system based on the color histogram matching is pro... more Abstract In this paper a new face recognition system based on the color histogram matching is proposed. The system uses color histograms of the extracted face regions as the feature vectors for recognition. The recognition is performed by identifying the subject that maximizes the cross correlation of the histogram of the given image and the histograms of the face subjects in the database. Majority voting among the decisions of the histogram based face recognition classifiers in different color channels have been combined to ...
Abstract In this work, we have proposed a new image contrast enhancement technique based on compl... more Abstract In this work, we have proposed a new image contrast enhancement technique based on complex wavelet transform (CWT) and singular value decomposition (SVD). The technique decomposes the input image into the eight frequency subbands by using CWT and estimates the singular value matrix of the real and complex low-low subbands, and then it reconstructs the enhanced image by applying the inverse CWT (ICWT). The technique is compared with the conventional image equalization techniques such as standard general ...
This paper proposes a high performance iris recognition system based on the probability distribut... more This paper proposes a high performance iris recognition system based on the probability distribution functions (PDF) of pixels in different colour channels. The PDFs of the segmented iris images are used as statistical feature vectors for the recognition of irises by minimizing the Kullback-Leibler distance (KLD) between the PDF of a given iris and the PDFs of irises in the training set. Feature vector fusion (FVF) and majority voting (MV) methods have been employed to combine feature vectors obtained from different colour channels in YCbCr and RGB colour spaces to improve the recognition performance. The system has been tested on the segmented iris images from the UPOL iris database. The proposed system gives a 98.44% recognition rate on that iris database.
In this paper, a novel image equalization technique which is based on singular value decompositio... more In this paper, a novel image equalization technique which is based on singular value decomposition (SVD) is proposed. The singular value matrix represents the intensity information of the given image and any change on the singular values change the intensity of the input image. The proposed technique converts the image into the SVD domain and after normalizing the singular value matrix it reconstructs the image in the spatial domain by using the updated singular value matrix. The technique is called the singular value equalization (SVE) and compared with the standard grayscale histogram equalization (GHE) method. The visual and quantitative results suggest that the proposed SVE method clearly outperforms the GHE method.
This paper proposes a new illumination compensation technique based on iterative implementation o... more This paper proposes a new illumination compensation technique based on iterative implementation of singular value equalization of low frequency subband of a given image. In this work, both input and reference images are decomposed into different frequency subbands by using discrete wavelet transform (DWT). Then low frequency subbands are used in order to compensate the illumination of the input image and achieve the same illumination of the reference image. Afterwards inverse DWT (IDWT) is used to reconstruct the illumination compensated image. The experimental results on various video resolution enhancement techniques show that maximum PSNR gain of 1.96 dB is achieved by applying the proposed illumination compensation technique.
IEEE Transactions on Geoscience and Remote Sensing, 2011
Satellite images are being used in many fields of research. One of the major issues of these type... more Satellite images are being used in many fields of research. One of the major issues of these types of images is their resolution. In this paper, we propose a new satellite image resolution enhancement technique based on the interpolation of the high-frequency subbands obtained by discrete wavelet transform (DWT) and the input image. The proposed resolution enhancement technique uses DWT to decompose the input image into different subbands. Then, the high-frequency subband images and the input low-resolution image have been interpolated, followed by combining all these images to generate a new resolution-enhanced image by using inverse DWT. In order to achieve a sharper image, an intermediate stage for estimating the high-frequency subbands has been proposed. The proposed technique has been tested on satellite benchmark images. The quantitative (peak signal-to-noise ratio and root mean square error) and visual results show the superiority of the proposed technique over the conventional and state-of-art image resolution enhancement techniques.
This research work proposes a satellite image enhancement system consisting of image denoising an... more This research work proposes a satellite image enhancement system consisting of image denoising and illumination enhancement technique based on dual tree complex wavelet transform (DT-CWT). The technique firstly decomposes the noisy input image into different frequency subbands by using DT-CWT and denoises these subbands by using local adaptive bivariate shrinkage function (LA-BSF) which assumes the dependency of subband detail coefficients. In LA-BSF, model parameters are estimated in a local neighborhood which results in improved denoising performance. Then the denoised image once more is decomposed into the different frequency subbands by using DT-CWT. The highest singular value of the low frequency subbands are used in order to enhance the illumination of the denoised image. Finally the image is reconstructed by applying the inverse DT-CWT (IDT-CWT). The experimental results show the superiority of the proposed method over the conventional and the state-of-art techniques.
Abstract In this paper, we propose a multi-frame video resolution enhancement technique based on ... more Abstract In this paper, we propose a multi-frame video resolution enhancement technique based on dual tree complex wavelet transform (DT-CWT). Here, before registration step, the respective frames have been passed through an illumination compensation procedure which is based on singular value decomposition (SVD) and discrete wavelet transform (DWT). The frame subject to the resolution enhancement is decomposed into its different frequency subbands by using DT-CWT. The high frequency subbands have been ...
Abstract In this paper a new face recognition system based on the color histogram matching is pro... more Abstract In this paper a new face recognition system based on the color histogram matching is proposed. The system uses color histograms of the extracted face regions as the feature vectors for recognition. The recognition is performed by identifying the subject that maximizes the cross correlation of the histogram of the given image and the histograms of the face subjects in the database. Majority voting among the decisions of the histogram based face recognition classifiers in different color channels have been combined to ...
Abstract In this work, we have proposed a new image contrast enhancement technique based on compl... more Abstract In this work, we have proposed a new image contrast enhancement technique based on complex wavelet transform (CWT) and singular value decomposition (SVD). The technique decomposes the input image into the eight frequency subbands by using CWT and estimates the singular value matrix of the real and complex low-low subbands, and then it reconstructs the enhanced image by applying the inverse CWT (ICWT). The technique is compared with the conventional image equalization techniques such as standard general ...
This paper proposes a high performance iris recognition system based on the probability distribut... more This paper proposes a high performance iris recognition system based on the probability distribution functions (PDF) of pixels in different colour channels. The PDFs of the segmented iris images are used as statistical feature vectors for the recognition of irises by minimizing the Kullback-Leibler distance (KLD) between the PDF of a given iris and the PDFs of irises in the training set. Feature vector fusion (FVF) and majority voting (MV) methods have been employed to combine feature vectors obtained from different colour channels in YCbCr and RGB colour spaces to improve the recognition performance. The system has been tested on the segmented iris images from the UPOL iris database. The proposed system gives a 98.44% recognition rate on that iris database.
In this paper, a novel image equalization technique which is based on singular value decompositio... more In this paper, a novel image equalization technique which is based on singular value decomposition (SVD) is proposed. The singular value matrix represents the intensity information of the given image and any change on the singular values change the intensity of the input image. The proposed technique converts the image into the SVD domain and after normalizing the singular value matrix it reconstructs the image in the spatial domain by using the updated singular value matrix. The technique is called the singular value equalization (SVE) and compared with the standard grayscale histogram equalization (GHE) method. The visual and quantitative results suggest that the proposed SVE method clearly outperforms the GHE method.
This paper proposes a new illumination compensation technique based on iterative implementation o... more This paper proposes a new illumination compensation technique based on iterative implementation of singular value equalization of low frequency subband of a given image. In this work, both input and reference images are decomposed into different frequency subbands by using discrete wavelet transform (DWT). Then low frequency subbands are used in order to compensate the illumination of the input image and achieve the same illumination of the reference image. Afterwards inverse DWT (IDWT) is used to reconstruct the illumination compensated image. The experimental results on various video resolution enhancement techniques show that maximum PSNR gain of 1.96 dB is achieved by applying the proposed illumination compensation technique.
IEEE Transactions on Geoscience and Remote Sensing, 2011
Satellite images are being used in many fields of research. One of the major issues of these type... more Satellite images are being used in many fields of research. One of the major issues of these types of images is their resolution. In this paper, we propose a new satellite image resolution enhancement technique based on the interpolation of the high-frequency subbands obtained by discrete wavelet transform (DWT) and the input image. The proposed resolution enhancement technique uses DWT to decompose the input image into different subbands. Then, the high-frequency subband images and the input low-resolution image have been interpolated, followed by combining all these images to generate a new resolution-enhanced image by using inverse DWT. In order to achieve a sharper image, an intermediate stage for estimating the high-frequency subbands has been proposed. The proposed technique has been tested on satellite benchmark images. The quantitative (peak signal-to-noise ratio and root mean square error) and visual results show the superiority of the proposed technique over the conventional and state-of-art image resolution enhancement techniques.
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Papers by Gholamreza Anbarjafari