We show how the first order statistic, i.e. the histogram, of the wavelet filtered image is related to the higher order statistic of the original image. We then propose a texture classification method that uses the histogram information of the filtered images as the feature vector. Classification experiments show that the proposed method achieves better classification result than the Gabor wave...

This paper analytically formulates both the optimal quantization noise allocation ratio and the coding gain of the two-dimensional morphological Haar wavelet transform. The two-dimensional morphological Haar wavelet transform has been proposed as a nonlinear wavelet transform. It has been anticipated for application to nonlinear transform coding. To utilize a transformation to transform coding,...

Decomposing the wavelet transform in lifting steps allows a simpler implementation of the transform filters and provides the flexibility necessary to satisfy other requirements, e.g., generating non-linear integer-to-integer wavelet transforms. The paper presents a flow-graph approach to the lifting factorization that gives a better insight to the main features of single-phase and two-phase wav...

Theory of wavelet transform is a young branch of applied mathematics extensively developing from early 1980's. Recently, the wavelet transform is studied increasingly with applications to digital signal processing and analysis including data compression. This paper briefly introduces theory of wavelet transform and shows several promising applications in cardiology. Also, examples of the use of...

Wavelet transforms have become increasingly important in image compression since wavelets allow both time and frequency analysis simultaneously. This paper investigates the fundamental concept behind the wavelet transform and provides an overview of some improved algorithms on the wavelet transform. The latter part of this paper emphasize on lifting scheme which is an improved technique based o...

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...

The orthogonal frequency division multiplexing is used in wireless communication due to high data rate. OFDM are robustness against multi-path fading, frequency selective fading, and narrow band interference. Wavelet analysis has strong advantages over fourier transform and also allows time-frequency domain operation with flexibility. Wavelet is applied in various fields of wireless communicati...

This paper presents simple wavelet based image compression method where wavelet transform is generated from orthogonal component transforms. Wavelets of DCT, DST and Real-DFT and Discrete Hartley Transform (DHT) are generated. Each generated wavelet transform is applied separately on R, G, and B plane of 256x256x3 colour image. Performance of these wavelet transforms is evaluated using two para...