Image segmentation is one of the vital steps in Image processing. It is a challenging task in segmenting MRI(Magnetic Resonance Imaging) images because these images have no linear features. But MRI images provide high quality when compared to any other imaging techniques, so it is best suited for clinical diagnosis, biomedical research, etc. This paper presents a novel approach for segmenting M...

We present the light field oracle, a novel mathematical concept for the acquisition, processing and representation of light fields. We first compute a hierarchical representation from a set of sparse image samples using a combination of wavelet transform and scattered data interpolation. The light field oracle then progressively acquires image data and selectively refines this initial represent...

ABSTRACT Differential operators have been widely used for multiscale geometric descriptions of images. Efficient computation of these differential operators can be obtained by taking advantage of the spline techniques. In this paper, we make use of a special class of these operators for image enhancement, with a particular application to chromosome image enhancement. These operators constitute ...

Efficient representation of images usually leads to improvements in storage efficiency, computational complexity and performance of image processing algorithms. Efficient representation of images can be achieved by transforms. However, conventional transforms such as Fourier transform and wavelet transform suffer from discontinuities such as edges in images. To address this problem, we propose ...

Image fusion is one of the important branches of data fusion. Its purpose is to combine multi-image information in one scene which is more suitable to human vision or more adapt to further image processing such as target identification. In this paper image fusion algorithm based on wavelet transform is proposed to improve quality of image and meet the needs of applications of vision. Two or mor...

Lifting scheme for the real field wavelet transform has provided a new insight into its practical implementation. This paper shows that a similar scheme can be developed for the binary field wavelet transform. In particular, by using the Euclidean algorithm, the binary filters can be decomposed into a finite sequence of simple lifting steps over the binary field. This provides an alternative me...

Image fusion is to reduce uncertainty and minimize redundancy in the output while maximizing relevant information from two or more images of a scene into a single composite image that is more informative and is more suitable for visual perception or processing tasks like medical imaging, remote sensing, concealed weapon detection, weather forecasting, biometrics etc. Image fusion combines regis...

The Discrete Wavelet Transform (DWT) is one of the powerful signal processing tools. It has been effectively used in wide range of applications including image processing, speech analysis, pattern recognition and biometrics. Large amount of memory is required for storing the intermediate values for the implementation of Two Dimensional Discrete Wavelet Transform. Transposition Memory (TM) requi...

Most existing digital watermarking algorithms, which are based on the Discrete Wavelet Transform, are not robust to geometric distortions, even if for some special distortions, such as multiples of 90◦ rotation of integers and image flipping, which change the location of pixels but have no effect on the value of the image. Therefore, to solve the problem, according to Haar wavelet transform the...