Vol 1, Issue 1 by J of Advanced Signal Processing
Journal of Advanced Signal Processing, 2016
Nowadays there are many different devices for displaying images. According to using images in dif... more Nowadays there are many different devices for displaying images. According to using images in different applications and various devices, displaying the images in different display size is vital and essential. Therefore it is very important to preserve content of images during resizing. In this paper, we present two different methods for content aware image resizing that combined with Seam carving algorithm and scaling. In both methods, at first the important regions of image are determined. After that Seam carving algorithm is used in these important regions and traditional scaling is applied for other regions. The proposed approaches are implemented and the experimental result shows that these methods are appropriate for various images especially in content images with many objects and edges.
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Journal of Advanced Signal Processing, 2016
Generally the fractional bandwidth of tracking radar echo signal is lower than an octave. The exi... more Generally the fractional bandwidth of tracking radar echo signal is lower than an octave. The existence of the target echo signal creates a peak in the histogram of periods at the frequency of the signal. When there is only white noise in the received signal, no distinct peak can be observed in the histogram. However, when both weak echo signal and white noise are coexisted, a peak appears which grows as signal to noise ratio (SNR) increases. This paper presents a simple way based on direct analysis of periods in time domain to distinguish echo signal with low SNR. Comparison of the results from simulation with those from measurement confirms the accuracy of the suggested method.
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Journal of Advanced Signal Processing, 2016
Digital watermarking technique embeds additional data (watermark) into digital contents in such a... more Digital watermarking technique embeds additional data (watermark) into digital contents in such a way that the resulting distortion is imperceptible. Tampered detection and recovery is one of the digital watermarking applications. Tamper detection and recovery can mine the tampered region in the image and then recover it. This application can resolve the problem of digital content modification. In this paper, a novel watermarking approach is proposed for tamper detection and recovery in the compressed and uncompressed images. In this method, each block in the image contains watermark of another block. Therefore, for each non-overlapping block in the image, there exists one copy of the watermark. Here, the Chaotic map is used to improve security and confuse block. Also, a secret key is transmitted along with the watermarked image. In our algorithm, a 90% tampered image can be recovered by PSNR ≈ 20 dB. Experimental results demonstrate that the proposed method is secure and superior to the other techniques, especially when the tampered area is large and is resistant to compression.
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Journal of Advanced Signal Processing, 2016
Adaptive networks are known as powerful solution for distributed estimation problems. It is shown... more Adaptive networks are known as powerful solution for distributed estimation problems. It is shown in available works that, under the ideal link condition, diffusion adaptive networks are efficient solutions for distributed estimation. However, ideal link is not a practical assumption for many applications. Thus, this paper aims to study the steady-state performance of diffusion adaptive networks with flat fading channels. Using the energy conservation argument, we derive closed-form expressions for EMSE and MSD metrics. We also derive the required bound (in terms of the step size parameter) for stability of diffusion adaptive network with fading links. Our analysis shows that in this condition, steady-state curves are not monotonic increasing functions of step size. We provide simulation results to support the analysis.
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Journal of Advanced Signal Processing, 2016
In this paper, a new method based on genetic and hill Climbing algorithms for steganography in im... more In this paper, a new method based on genetic and hill Climbing algorithms for steganography in image is proposed. Data is embedded in LSB. In order to enhance image quality and storage capacity, genetic algorithm is utilized which model hiding as a search and optimization process. Also, to speed up the search function with genetic algorithm, local search and hill Climbing algorithms have been used. The findings show that the hiding image quality is acceptable while capacity is increased. Also, hill Climbing Algorithm speed up the hiding process.
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Journal of Advanced Signal Processing, 2016
Gaze tracking is a key process in human-computer interactions. A basic approach in this field is ... more Gaze tracking is a key process in human-computer interactions. A basic approach in this field is to predict the position of the pupil in sequential video frames. Particle filter, the most important method which is based on aforementioned approach, has a low precision in predicting the pupil position though guaranteeing expected speed. To solve this problem, in this paper, genetic algorithm (GA) is used in the sampling step of the particle filter method. As a result, in each frame, diversity of the particles required for predicting the pupil position in the next video frame is preserved and at the same time the monotony of them is reduced. To evaluate performance, corresponding to different particle populations, speed and precision of the proposed method and the basic particle filter method in predicting pupil positions in video frames of eye were computed and compared. Results show that the proposed method, compared to the basic particle filter method, tracks the gaze more precisely in a lower time.
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Vol 2, Issue 1 by J of Advanced Signal Processing
Journal of Advanced Signal Processing, 2017
Due to increase using images in different life application especially internet, recently many res... more Due to increase using images in different life application especially internet, recently many researchers interested in understanding in web and images. Automatic image annotation means attaching words, keywords or comments to an image. The inputs for image annotation system are features which are extracted from image. In this paper, a new algorithm for automatic image annotation using bag of words (BOW) and SIFT descriptor is presented. Considering the high dimensionality of SIFT features and to achieve satisfying efficiency, we apply dimension reduced technique PCA-SIFT and K-Means algorithm. Experimental results based on the images of Corel5k dataset show that the proposed method has better performance in precision and time measures.
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Journal of Advanced Signal Processing, 2017
Impulsive Noise is one of the degrading factors in digital image quality. In this paper, an innov... more Impulsive Noise is one of the degrading factors in digital image quality. In this paper, an innovative and hybrid method for noise reduction is proposed. The proposed algorithm has two stages: detection of the noise and removing of it in the frequency domain. Another innovation of the paper is introducing of a measure of quality assessment of the degraded image. The results show the improving of the quality in comparison with the state of the art related works is achieved and this method outperforms them about 2dB in PSNR measure.
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In this paper, a new method for estimation of flat fading is proposed. First, the channel is mode... more In this paper, a new method for estimation of flat fading is proposed. First, the channel is modeled by a noisy autoregressive (AR) model and then Zheng method is used to estimate the AR model parameters. After the model is determined, the channel is estimated using Kalman filter. Using simulations the performance of the proposed method is evaluated and compared with the other existing methods in terms of estimation accuracy and bit error rate (BER). Simulation results show that the proposed method outperforms the other existing methods.
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Journal of Advanced Signal Processing, 2017
In this paper, a new wavelet-based constant false alarm rate (CFAR) detector called wavelet CFAR ... more In this paper, a new wavelet-based constant false alarm rate (CFAR) detector called wavelet CFAR (W-CFAR), composed of the clutter edge detector and the cell-averaging (CA)-CFAR processor, is proposed in the clutter edge situation. The proposed detector does not require any prior knowledge about the background environment. It uses wavelet transform for edge detection and then selects appropriate part of reference cells for thresholding. Although CA-CFAR is an optimal detector for the homogeneous environment, but its performance is degraded in the non-homogeneous environment. The performance of the proposed detector is evaluated and compared with those of the Greatest Of (GO), Smallest Of (SO), and CA-CFAR detectors. The simulation results show that the proposed detector provides low loss CFAR performance for the homogenous environment in comparison with CA-CFAR. The clutter edge may be stayed on before or after cell under test (CUT). The performance of W-CFAR approaches to SO-CFAR as long as the position of clutter edge is before CUT; otherwise its performance approaches to GO-CFAR.
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Journal of Advanced Signal Processing, 2017
A major challenge in two-class brain-computer interface (BCI) systems is the low bandwidth of the... more A major challenge in two-class brain-computer interface (BCI) systems is the low bandwidth of the communication channel, especially this is important for controlling assistive devices such as a wheelchair or a mobile robot which requires multiple motion commands. The goal of this research is EEG-based wheelchair control through a SSVEP-based BCI. This brain control must provide high security and accuracy particularly for disabled people. SSVEP brain signal is windowed and for reducing noise and artifacts passed through a bandpass filter in preprocessing stage. Three methods including FFT algorithm, IT-CCA and an improved method based on combination of IT-CCA and Filter-bank are used for feature extraction. Computing Accuracy and ITR for three methods represents that improved method based on combination of IT-CCA and Filter-bank has the best performance. Finally the wheelchair and its physical environment are designed by Webots robotic simulation software and by sending and performing multiple commands, wheelchair motivation maneuver is completed.
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Journal of Advanced Signal Processing, 2017
Design and implementation of an FPGA based system is illustrated in this paper. This Device is ut... more Design and implementation of an FPGA based system is illustrated in this paper. This Device is utilized to control temperature and humidity sensitive environments with the aid of humidifier and fan devices. In situ control of humidity and temperature values by incorporated sensors and sending real time instructions to control these amounts is this device’s principle of operation. The capability of the fabricated device to send data via Bluetooth which meanwhile uses an special protocol to encrypt data transmit as well as incorporated error detection and correction protocol makes the device capable to be utilized in places demand ultrahigh immune approach. The Device is also capable to communicate with the computer and store the obtained information. To evaluate the performance of the proposed circuit the system is first simulated in Matlab and then it is implemented in logical gate level at Xilinx ISE environment and finally is practically implemented by Xilinx SPARTAN 3 FPGA and its performance is evaluated experimentally.
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List of Reviewers of the Biannual Journal of Advanced Signal Processing (JASP)
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Abstract: In this paper, a new wavelet-based constant false alarm rate (CFAR) detector called wav... more Abstract: In this paper, a new wavelet-based constant false alarm rate (CFAR) detector called wavelet CFAR (W-CFAR), composed of the clutter edge detector and the cell-averaging (CA)-CFAR processor, is proposed in the clutter edge situation. The proposed detector does not require any prior knowledge about the background environment. It uses wavelet transform for edge detection and then selects appropriate part of reference cells for thresholding. Although CA-CFAR is an optimal detector for the homogeneous environment, but its performance is degraded in the non-homogeneous environment. The performance of the proposed detector is evaluated and compared with those of the Greatest Of (GO), Smallest Of (SO), and CA-CFAR detectors. The simulation results show that the proposed detector provides low loss CFAR performance for the homogenous environment in comparison with CA-CFAR. The clutter edge may be stayed on before or after cell under test (CUT). The performance of W-CFAR approaches to...
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Impulsive Noise is one of the degrading factors in digital image quality. In this paper, an innov... more Impulsive Noise is one of the degrading factors in digital image quality. In this paper, an innovative and hybrid method for noise reduction is proposed. The proposed algorithm has two stages: detection of the noise and removing of it in the frequency domain. Another innovation of the paper is introducing of a measure of quality assessment of the degraded image. The results show the improving of the quality in comparison with the state of the art related works is achieved and this method outperforms them about 2dB in PSNR measure.
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In this paper, a new method for estimation of flat fading is proposed. First, the channel is mode... more In this paper, a new method for estimation of flat fading is proposed. First, the channel is modeled by a noisy autoregressive (AR) model and then Zheng method is used to estimate the AR model parameters. After the model is determined, the channel is estimated using Kalman filter. Using simulations the performance of the proposed method is evaluated and compared with the other existing methods in terms of estimation accuracy and bit error rate (BER). Simulation results show that the proposed method outperforms the other existing methods.
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