Due to the development of CT (Computed Tomography), MRI (Magnetic Resonance Imaging), PET (Positron Emission Tomography), EBCT (Electron Beam Computed Tomography), SMRI (Stereotactic Magnetic Resonance Imaging), etc. has enhanced the distinguishing rate and scanning rate of the imaging equipments. The diagnosis and the process of getting useful information from the image are got by processing t...

In this paper, we propose a hybrid IBTC-DWT encoding a digital image. The method combines the simple computation and edge preservation prosperities of interpolative block truncation coding(IBTC) and high compression ratio of discrete wavelet transform(DWT), implemented with significantly lower coding delay than DWT alone, and to achieve a reduced bit rate is also proposed and investigated. In t...

Detection of a digital watermark in images distorted by geometric transforms is made difficult by the so−called synchronization problem. Many watermarking methods have been developed to be robust against an affine transform. Based on such assumption, those methods fail under a more general projective transform. In this paper, a method that is invariant to planar projective transform is presente...

-The proposed method presents a new classification approach to microcalcification detection in mammograms using morphology, Contourlet Transform and Artificial Neural Network. Early detection of breast cancer is possible by enhancing microcalcification features obtained using morphology and singularities of Contourlet Transform. The significant edge information indicating the relevant features ...

The manuscript presents the replacement algorithm of digital image watermarking. The tool used for processing is discrete wavelet transform (DWT). The method includes the process of dividing the digital image into multiple frequency bands which are replaced by the content of secrete image. This phenomenon is used to provide copyright protection, imperceptibility to the user. Peak signal to nois...

The idea of combining multiple image modalities to provide a single, enhanced image is well established different fusion methods have been proposed in literature. This paper is based on image fusion using laplacian pyramid and wavelet transform method. Images of same size are used for experimentation. Images used for the experimentation are standard images and averaging filter is used of equal ...

This paper presents a method of contour extraction and compression from grey level image. The proposed algorithm is applied in spectral domain using single-level wavelet transform (WT). Single step parallel contour extraction (SSPCE) method is used for the binary image after inverse wavelet transform is applied to the details images. Then the contours are compressed using either Ramer or Trapez...

Image compression is an application of data compression on digital images, which is in high demand as it reduces the computational time and consequently the cost in image storage and transmission. The basis for image compression is to remove redundant and unimportant data while to keep the compressed image quality in an acceptable range. In this work, Fast Fourier Transform (FFT), Discrete Cosi...

This paper presents a study of transform methods used in lossless text compression in order to preprocess the text by exploiting the inner redundancy of the source file. The transform methods are Burrows-Wheeler Transform (BWT, also known as Block Sorting), Star Transform and LengthIndex Preserving Transform (LIPT). BWT converts the original blocks of data into a format that is extremely well s...