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This paper proposes an implementation for switching median filters using counter propagation networks. The proposed filter consists of an impulse detector based on the counter propagation networks and a median filter. The median filter only removes the impulsive noise marked by the impulse detector and isn't applied to the other pixels. By using the proposed method, we can achieve to reduce the impulsive...
A class of robust weighted median (WM) sharpening algorithms is developed in this paper. Unlike traditional linear sharpening methods, weighted median sharpeners are shown to be less sensitive to noise or to image artifacts introduced by compression algorithms. The WM sharpening structure is extended to include data dependent weights under the framework of permutation weighted medians leading to sharpeners...
The gel electrophoresis is a method of separation of substances possessing electrical charge using the difference of their mobility in the electric field. The rate of migration of a fragment of a protein or DNA depends on the intensity of the constant electric field, on its resultant charge and the friction coefficient [1,2]. The effect of the electrical force is dependent on the fragment shape, its...
The paper presents a new technique of image enhancement. The described algorithm enables the suppression of noise and contrast enhancement. The interesting feature of this new algorithm is that its iterative use leads to the image segmentation. The algorithm is based on a concept of a virtual particle, which performs a special kind of a random walk — the so called self-avoiding random walk. The transition...
Steganography is an authenticated technique for maintaining secrecy of embedded data. The novel concept of replacing mantissa part of cover image by the generated mantissa part of payload is proposed for higher capacity and security. The Lifting wavelet Transform (LWT) is applied on both cover image and payload of sizes a * a and 3a * 2a respectively. The mantissa values of Vertical band (CV), Horizontal...
Image Denoising nowadays is a great Challenge in the field of image processing. Since Discrete wavelet transform (DWT) is one of the powerful and perspective approaches in the area of image de noising. But fixing an optimal threshold is the key factor to determine the performance of denoising algorithm using (DWT). The optimal threshold can be estimated from the image statistics for getting better...
Edge pixels are the key feature widely used for the processing of the digital images. Edges will be lost due to filtering operation carried out on digital images. The structure comprises of alpha trimmed mean filter and edges are preserved with the specialized technique. Lost edge details due to the mean filtering operation are restored with the help of the preserved edges. Balanced histogram technique...
In recent years emergence of many intelligent autonomous systems are possible due to the tremendous advancement of various technologies like computer vision and automation and control engineering with sensor technology. One such intelligent system is autonomous underwater vehicle (AUV) for ocean floor mapping by SONAR technology. Success of this autonomous smart and precise intelligent system depends...
In this paper, we propose the speckle removal algorithm from Synthetic Aperture Radar (SAR) images via a segmentation technique based on Öztürk algorithm. The Öztürk’s algorithm is used to determine the distribution for each sample. These procedures are processed to see the relation between distribution of each pixels and segments of the image. We demonstrated the effectiveness of our algorithm by...
As the demand for high-frequency DDR SDRAM increases, duty-cycle correction circuits (DCC) become a key element to widen the data-valid window (tDV). For duty detection in a DCC, analog schemes using charge pumps [1] and digital schemes using DLL locking [2] or time-to-digital converters (TDC) [3] are widely used. However, they require a certain amount of time proportional to duty errors or a high-resolution...
With increased resource size, powerful DSP blocks and large on-chip memory, Field Programmable Gate Array (FPGA) devices play a major role as hardware platforms for implementing compute intensive video image processing applications. In this paper, image processing algorithms are used for tracking a moving video object. The image processing algorithms used are (a) Noisy video generation with random...
The recent trend of proliferation of road accidents and fatalities, calls for a methodology that can appease the burden on the drivers during certain crucial moments, requiring fast response and decision making. This paper expatiates a novel and effective procedure for determining the steering angle required to keep the vehicle in the middle of the lane. The procedure used is divided in multiple stages...
In this paper, we present a novel iterative median filter based strategy to improve the quality of the depth maps provided by sensors like Microsoft Kinect. The quality of the depth map is improved in two aspects, by filling holes present in the maps and by addressing the random noise. The holes are filled by iteratively applying a median based filter which takes into account the RGB components as...
Optimization of filter parameters are important to improve the performance of the filter for the intended application. In general, the optimized parameters of the image filter for a particular application may not be suitable for other applications as well. Hence to have a better performance, it is always required to modify the filter coefficients or parameters. In this paper the author propose few...
In oceanic environment, uneven illumination, turbulence in water and floating particles make underwater image capture, a challenge. Vision sensors attached with the autonomous underwater vehicles, themselves cause light dispersion and shadows in the ocean floor. Although, several computer vision algorithms have been developed, effective analysis of the algorithms both quantitatively and qualitatively...
Synthetic Aperture Radar (SAR) images are affected by speckle which has a multiplicative nature. It is a granular noise which appears due to coherent interference of radar waves reflected from elementary scatterers. The presence of speckle greatly affects the analytical ease in terms of image classification and segmentation. Despeckling filters such as Lee, Frost, Boxcar and other have been proposed...
We propose a framework to perform multimodal registration of multiple images. In retinal imaging, this alignment enables the physician to correlate the features across modalities, which can help formulate a diagnosis. The images appear very different and there are few reliable modality-invariant features. We base our registration on the salient line structures extracted with a tensor-voting approach...
Image sharpness measurements are important parts of many image processing applications. To measure image sharpness multiple algorithms have been proposed and measured in the past but they have been developed with having out-of-focus photographs in mind and they do not work so well with images taken using a digital microscope. In this article we show the difference between images taken with digital...
We proposed an efficient method to detect object and the boundary of the object. The object detection is done after the subtraction between background and object with background in gray scale wit threshold, which is generated from the normal distribution curve fitted histogram. In most of the existing methods for binary scale conversion and detection of object only one threshold used, here we used...
This paper addresses the issue of magnetic resonance (MR) Image reconstruction at compressive sampling (or compressed sensing) paradigm followed by its segmentation. To improve image reconstruction problem at low measurement space, weighted linear prediction and random noise injection at unobserved space are done first, followed by spatial domain de-noising through adaptive recursive filtering. Reconstructed...
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