This paper proposes new image compression technique that uses Real Fourier Transform. Discrete Fourier Transform (DFT) contains complex exponentials. It contains both cosine and sine functions. It gives complex values in the output of Fourier Transform. To avoid these complex values in the output, complex terms in Fourier Transform are eliminated. This can be done by using coefficients of Discr...

The Dissertation a multi-focus image fusion approach using a new sharpness criterion that depends on statistics of image's gradient information is proposed in this dissertation. The proposed approach exploits a Discrete Cosine Wavelet criterion to adaptively perform image fusion by selecting most informative (sharp) information from the input images. The proposed Discrete Cosine Wavelet sharpne...

In this paper, a transform based methodology is presented for compression of electrocardiogram (ECG) signal. The methodology employs different transforms such as Discrete Wavelet Transform (DWT), Fast Fourier Transform (FFT) and Discrete Cosine Transform (DCT). A comparative study of performance of different transforms for ECG signal is made in terms of Compression ratio (CR), Percent root mean...

In this paper, Wavelet Transform, Fractional Fourier Transform (FrFT) and Fractional Cosine Transform (FrCT) are compared using Mean Square Error (MSE) and Peak signal-toNoise Ratio (PSNR) in the field of image compression. Wavelet provides better MSE and PSNR at lower Compression Ratio (CR), whereas FrFT provides good result at higher CR and FrCT provides same results as that of Wavelet at hig...

Compression of speech from the TIMIT corpus was investigated for several transform domain methods coding near-best and best bases from cosine and wavelet packet transforms. Satisficing (suboptimizing) search algorithms for selecting near-best bases were compared with optimizing algorithms for best bases in these adaptive tree-structured transforms. Experiments were performed on several hundred ...

Facial recognition and expression analysis is rapidly becoming an area of intense interest in computer science and humancomputer interaction design communities. The most expressive way humans display emotions is through facial expressions. In this paper skin and non-skin pixels were separated. Face regions were extracted from the detected skin regions. Facial expressions are analyzed from facia...

Biometrics as a method for identification systems has been widely used for its robustness; one of its used is based on human palm. Palm has unique characteristics to be used in personal identification because of it features. In this paper the palm features are extracted using Discrete Cosine Transform energy features, Wavelet Transform energy features and Sobel Code to obtain feature vectors an...

In this paper, an optimal control of quadratic performance index with nonlinear constrained is presented. The sine-cosine wavelet operational matrix of integration and product matrix are introduced and applied to reduce nonlinear differential equations to the nonlinear algebraic equations. Then, the Newton-Raphson method is used for solving these sets of algebraic equations. To present ability ...

In this paper, we present a novel Gabor wavelet based Kernel Entropy Component Analysis (KECA) method by integrating the Gabor wavelet transformation (GWT) of facial images with the KECA method for enhanced face recognition performance. Firstly, from the Gabor wavelet transformed images the most important discriminative desirable facial features characterized by spatial frequency, spatial local...

The efficient representation of arbitrarily shaped image segments is an important issue in objectbased image coding. This paper describes an algorithm by which the given image segment is successively approximated using 2-D shapeindependent basis functions defined on a rectangle circumscribing the image segment. Discrete cosine and discrete wavelet basis were used in the system respectively, and...