In this research, a simple experiment in the field of agriculture was studied, terms effect out-of-control noise as result several reasons, including environmental conditions on observations agricultural experiments, through use Discrete Wavelet transformation, specifically (The Coiflets transform wavelength 1 to 2 and Daubechies To 3) based two levels (J-4) (J-5), applying hard threshold rules...

In order to provide an accurate and rapid target recognition method for some military affairs, public security, finance and other departments, this paper studied firstly a variety of fuzzy signal, analyzed the uncertainties classification and their influence, eliminated fuzziness processing, presents some methods and algorithms for fuzzy signal processing, and compared with other methods on ima...

One of the efficient solutions for data transmission and storage of huge remote sensing images is the high-fidelity and rapid compression. The hybrid algorithms based on fractal coding and wavelet transformation have already been developed and are becoming very popular at present. In this paper, an improved method of remote sensing image compression based on fractal coding and wavelet domain is...

Spectral analysis is an important signal processing tool for seismic data. The transformation of a seismogram into the frequency domain is the basis for a significant number of processing algorithms and interpretive methods. However, for seismograms whose frequency content vary with time, a simple 1-D (Fourier) frequency transformation is not sufficient. Improved spectral decomposition in frequ...

UNLABELLED An efficient method for tomographic imaging in nuclear medicine is PET. Higher sensitivity, higher spatial resolution, and more accurate quantification are advantages of PET, in comparison to SPECT. However, a high noise level in the images limits the diagnostic utility of PET. Noise removal in nuclear medicine is traditionally based on the Fourier decomposition of the images. This m...

  In this paper, we review novel techniques in the emerging field of spatiotemporal 4D PET imaging. We will discuss existing limitations in conventional dynamic PET imaging which involves independent reconstruction of dynamic PET datasets. Various approaches that seek to attempt some or all of these limitations are reviewed in this work, including techniques that util...

Internet has connected different parts of the world through a network link. Researchers in bioinformatics and biology have always wanted to share information for the progress of their research. But the data, they wanted to transfer are large-scale data sets which cannot be transferred over the existing network link in a considerable amount of time. Hence, methods to compress these large volumes...

In this paper, we propose a new algorithm of steganography to allow simultaneous hiding secret message and small-size image into an large-size image. To hide the secret message in small image we use the Least Significant Bit (LSB) substitution, and the method for hiding the image in the image cover use Discrete Wavelet Transformation (DWT). The proposed method results in increasing the secret m...

Scientific data gathered from simulation or real measurement usually requires 64 bit floating point numbers to retain accuracy. Unfortunately, these numbers do not lend themselves to traditional compression techniques, such as run-length or entropy encoding used in most general compression schemes. A different approach is to recognize that a reversible signal transformation can encode the infor...