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Quality degradation and computational complexity are the major challenges for image interpolation algorithms. Advanced interpolation techniques achieve to preserve fine image details but typically suffer from lower computational efficiency, while simpler interpolation techniques lead to lower quality images. In this paper, we propose an edge preserving(More)
In this paper a wavelet transform based optimum subband thresholding algorithm is proposed. This algorithm is used for denoising of heart sound signals that are highly corrupted by noise. The proposed algorithm applies signal dependent optimum thresholding to all the subbands of the signal. The algorithm is tested against different noise densities of the(More)
In this paper, we propose a new image interpolation method using adaptive weights based on inverse gradients and distances from the pixels used in prediction. Since the weights are based on different spatial locations of the pixels, this allows preservation of important edge information and hence to prevent extensive blurring across edges in the upsampling(More)
This paper presents a new generic algorithm for image interpolation as well as lossless image coding. Main motivation behind the work is to reduce computational complexity involved in using Least Square Error Minimization (LS). The proposed method down samples the given image to its quarter size and then to its (1/16)th size. For each downsampled image, the(More)
Incredible evolution of Internet, Digital devices and communication channels lead to an enormous increase in data leading to demand of Data security systems. Image stenography is the technique to hide data inside an image. This paper proposes a message dependent image stenography technique for concealing information into a cover image. Arnold transform is(More)
This paper proposes an efficient procedure for removal of salt and pepper noises from the noisy images on the basis of their local edge preserving filters. This algorithm consists of two major stages. In the first stage, the maximum and minimum pixel value in the the corrupted image is used to select noisy pixels or noise free pixels and then in second(More)
In view of high data embedding capacity and many real time applications, we have proposed a reversible invisible watermarking algorithm. The technique is used to embed a set of watermark data in an image using a one pass embedding process and later recovering the original image without any loss, after the extraction of watermark. Main motivation behind this(More)
Segmentation and exact timing information of PCG(Phonocardiographic) Signals and its components S1, Systolic period, S2 and Diastolic period in order with time of great importance for accurate diagnosis. In this work, we propose a novel algorithm for the segmentation of Phonocardiographic Signals into its constituent components having both normal and(More)
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