The use of digital technologies for processing and diagnosing electrocardiogram signals using wavelet-analysis can significantly improve the efficiency quality parameter estimations pacemaker configuration during implantation. It is also efficient in process correction functional modes cardiac diagnostics to eliminate postoperative complications, etc. A special complex cardio at a qualitatively...

The main objective of super-resolution (SR) imaging is to reconstruct a high-resolution (HR) image of a scene from one or more low-resolution images of the scene. In resolution enhancement of images, the main loss is on the high frequency components (edges) of the image. This is due to the smoothing caused by interpolation. Hence in order to enhance the quality of the super resolved image, pres...

The Discrete Wavelet Transform (DWT) has been applied to data compression to decorrelate the data and concentrate the energy in a small portion of the coefficients. Compression can be achieved since most of the quantized wavelet coefficients are zeros. For the decoder, the traditional inverse discrete wavelet transform (IDWT) has a complexity proportional to the size of the data. In this paper,...

An appropriate method for fault identification and classification on extra high voltage transmission line using discrete wavelet transform is proposed in this paper. The sharp variations of the generated short circuit transient signals which are recorded at the sending end of the transmission line are adopted to identify the fault. The threshold values involve fault classification and these are...

This paper proposes a discrete wavelet-based stereo matching technique. A discrete wavelet transform is first applied to a pair of stereo images to decorrelate the images into a number of approximations. Information in the basebands is less sensitive to shift variability of the wavelet transform. A self-adapting dissimilarity measure is employed to generate a disparity map of the stereo pairs. ...

With the start of the widespread use of discrete wavelet transform the need for its efficient implementation is becoming increasingly more important. This work presents a general approach of discrete wavelet transform scheme vectorisation evaluated on an FPGAbased Application-Specific Vector Processor (ASVP). This unit can be classified as SIMD computer in Flynn’s taxonomy. The presented approa...

Non-blind watermarking is a form of with watermark image validation process that requires host image. The use the transform domain more robust and imperceptible. method resistant to various forms digital attacks. In this study, Discrete Cosine Transform (DCT) Wavelet (DWT) were selected as insertion algorithms. DCT faster attacks, especially in compression but has lower imperceptibility than DW...

Since images will constitute a large part of future wireless data, we focus in this paper on developing energy efficient, computing efficient and adaptive image compression and communication techniques. Based on a popular image compression algorithm, namely, wavelet image compression. In this method I propose an implementation of discrete-time wavelet transform based image codec using Set Parti...

This paper proposes a discrete wavelet-based stereo matching technique. A discrete wavelet transform is first applied to a pair of stereo images to decorrelate the images into a number of approximations. Information in the basebands is less sensitive to shift variability of the wavelet transform. A self-adapting dissimilarity measure is employed to generate a disparity map of the stereo pairs. ...