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Subject identification is essential in smart environments. Identification of differently disguised human subjects through visual surveillance methods is extremely challenging. Subject may use various artifacts to defy methods based on body shape and size matching. The radio imaging through wireless sensing is ubiquitous, device-free and privacy-preserving. This paper is based on our observation when...
In foggy and misty weather conditions, the contrast and color of images degrade. These degradation occur due to the attenuation of light and presence of air-light, light reflected from fog particles. Attenuation reduces the contrast and air-light increases the whiteness in the image. In this paper, a novel and efficient fog removal algorithm is proposed. The algorithm uses white color balancing with...
Seismocardiography (SCG) measures the precordial vibrations using a sensor called accelerometer, which is of small size and low weight. These features support better attachment of it to the subject's body and hence get less affected by the slow motion of the subject. However, noise generated due to the footsteps, while walking, contaminates the SCG signal. Therefore, in this paper, a novel method...
Noise suppression from the phonocardiogram (PCG) signal is important to improve the diagnostic efficiency. For the PCG signal, Discrete Wavelet Transform (DWT) based denoising method has been used extensively due to its good performance. However, the performance of this method depends on the threshold value and the way to apply it on the wavelet coefficients. Therefore, in this paper, an adaptive...
Automatic diagnosis of the heart valve diseases generally requires the segmentation of heart sound signal. Henceforth, in this paper a novel algorithm for automatic segmentation of the heart sound signal is proposed. The heart sound signal is acquired using seismocardiography (SCG), which uses a sensor called accelerometer. The accelerometer is of small size and low weight and thus convenient to wear...
Analysis of electromechanical (E-M) window provides an early marker of several cardiovascular diseases. The E-M window is defined as the duration between the electrical systole (QT) and the mechanical systole (QS2). Traditional methods for the estimation of the electrical systole and the mechanical systole are electrocardiography (ECG) and phonocardiography (PCG). PCG is a widely used method due its...
This paper proposes a new algorithm for restoration of gray scale images corrupted by salt and pepper noise(SPN). The proposed algoritm identifies a pixel as noisy if its intensity value is 0 or 255 and processes it using pixels in a 3×3 window. If the window consists of noisy and non-noisy pixels, then the pixel to be processed is replaced with the trimmed median value of the non-noisy pixels. However,...
All the methods available in literature for lossless coding comprises of two steps, one is the prediction scheme that results into prediction error and the second one consists of entropy coding of prediction error samples. In this work we introduce a scheme which adds a step prior to entropy coding technique due to which, the achieved gain in terms of compression is high. The additional step works...
In this paper, a novel method for lossless compression of video is proposed. Almost all the prediction based methods reported in literature are of two pass. In the first pass, motion compensated frame is obtained and in the second, some sophisticated method is used to predict the pixels of the current frame. The proposed method is an efficient replacement for the first method that predicts current...
Many image interpolation algorithms have been developed in the recent past aiming for high prediction accuracy. But these algorithms are focused only towards better predictor design. In this paper, we propose a generic two phase image interpolation algorithm based upon error feedback mechanism. In the first phase, we learn error pattern occurred during interpolation of down sampled version of original...
In this work, we propose a method of lossless video coding which not has only the decoder simple but encoder is also simple, unlike other reported methods which has computationally complex encoder. The computation is mainly due to not using motion compensation method, which is computationally complex process. The coefficient of the predictors are obtained based on an averaging process and then the...
In this paper we have proposed Noise Induced HSI model based noisy and blurred colour image segmentation technique. This approach uses additive noise to suppress the effect of internal noise present in an image for proper detection of objects from such images. In this algorithm we decompose a given image in Hue, Saturation and Intensity (HSI) components and then apply processing on intensity component...
In this paper, we propose a new adaptive image interpolation algorithm for enhancement of natural images. The proposed method uses different algorithms namely SAI, SPIA and Context-Based Image Interpolation Algorithm (CBIA) techniques, for both edgy and smooth type of images. The detailed part of smooth type image is interpolated by SAI, while we propose to use SPIA method for detailed part of edgy...
This paper proposes a new interpolation approach for obtaining high resolution (HR) images from its low resolution (LR) images. We are using the Least Squared based block by block prediction scheme to estimate the predictors using Jacobian iteration method. In spite of Jacobian's Iterative property of convergence for diagonally dominant matrices only, our proposed method uses this property effectively...
Bit-depth expansion is an art of converting low bit-depth image into high bit-depth image. Bit-depth of an image represents the number of bits required to represent an intensity value of the image. Bit-depth expansion is an important field since it directly affects the display quality. In this paper, we propose a novel method for bit-depth expansion which uses Minimum Risk Based Classification to...
In this paper we propose a new prediction scheme for lossless compression of fingerprint images. The proposed method uses the symmetric/near symmetric property of such images. The scheme first divides the image horizontally into two halves and then the upper half is divided vertically in another two halves; resulting in three parts of the given image. It is observed that the two halves of the upper...
In this paper we present two computationally simple algorithms that can be used for prediction of pixels of images. In one of the algorithms, prediction is made by estimating intensity value variations in four directions and their reciprocals are used to make prediction of unknown pixel. This algorithm captures local characteristics of the unknown pixel well as it uses only a small number of neighborhood...
Recently a lot of interpolation algorithms are proposed, but these interpolation algorithms are highly computationally expensive. Hence these algorithms cannot be implemented and used in real time applications. In view of real time applications we have proposed a computationally simple interpolation algorithm. In our proposed algorithm the unknown pixels are categorized into various bins depending...
Predictor based algorithms reported in literature uses only causal pixels and hence a non-symmetrical predictor structure for prediction. We observed that the performance of predictor is highly dependent on the predictor structure used. In view of this, we propose a novel interpolation based prediction scheme that enables us to use symmetrical predictor structure. In this sense, we have also used...
In this paper, we propose a prediction algorithm that uses adaptive predictor structures for loss less video coding. The proposed encoder finds cross-correlation coefficient between current frame and motion compensated previous frame and classifies the coefficient value into a small number of bins. For general videos, we propose four bins and associate different predictor structures with each of the...
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