[PDF] Top 20 Digital Image Interpolation via the Contourlet Transform

... Results have shown that the suggested algorithm is superior in performance to the bilinear, linear wavelet, and the image interpolation with a multi-scale geometric representation... Abd[r] ... See full document

... ABSTRACT: In this paper, we propose a more efficient method for digital watermarking of still images using contourlet transform (CT). The paper is aimed to demonstrate that more data can be hidden in ... See full document

... The system in [1] have developed to automatically diagnosis glaucoma using texture and higher order spectra features. The HOS based and texture images based features are extracted from the pre-processed images and then ... See full document

... from digital images before processing them for further analysis, is a significant process in image ...from digital images is proposed where the image is first transformed to the nonsubsampled ... See full document

... details. Image super-resolution (SR) reconstruction is a technique by which one can enhance the spatial resolution of an ...LR image is up sampled from one or several low resolution observations to obtain a ... See full document

... the digital mammography is very noisy, low-contrast, blur and fuzzy and hence there is a requirement for enhancing images ...mammogram image enhancement is to enhance the contrast between regions of ... See full document

... for digital image is a mathematical formula which converts an image from special domain to frequency ...an image is described by decomposing a given image into four subbands (LL, HL, ... See full document

... A digital watermark must have special features to guarantee desired ...the image features, larger image information contents bear greater ...corresponding image feature ...the transform ... See full document

... used contourlet transform to extract strong, smooth, and connected edges from input ...Fourier- transform [16,17], Spline-interpolation [18], Laplacian- based and wavelet-based [19] are ... See full document

... an image of a Satellite solar coupon exposed to a permanent sustained arc as shown in Figure 11(c, ...Bicubic interpolation, IBP and SR via sparse representation [16] via visually as well as ... See full document

... This was first introduced by Alfrisd Haar, in which the wavelet transforms are considered as finite-energy signals out of a wavelet-based expansion or decomposition. In DWT, orthogonality of basis set of the functions is ... See full document

... Digital images of melanoma and benign nevi were collected in JPEG arrangement from dissimilar source totaling 72, half melanoma and half benign. MATLAB’s Wavelet Toolbox only supports indexed images with linear ... See full document

... In our proposed method, the multi-scale, multi-directional and shift invariance properties of NSCT along with the use of different fusion rules have been used in such a way that it can c[r] ... See full document

... Due to the innovation in multimedia tools and Internet, media such as images, video, audio, etc. have become large day by day. Images are the prime source of information in various fields such as military communication, ... See full document

... viable image fusion algorithm, generous research work has been done as of ...Wavelet Transform (DTCWT) and Self Organizing Feature Map ...two image of same view to shape respective consolidated icon ... See full document

... medical image fusion framework for multimodal medical images relies on Non Subsampled Contourlet ...frequency image coefficients. Non Subsampled Contourlet Transformation proposed is used to ... See full document

... ultrasonic image and Figure 3(b) shows an image with zero mean Gaussian noise with a variance of σ 2 = ...original image contains more high-frequency parts, the blurring of the texture and details is ... See full document

... present digital image hiding technique using curvelet ...curvelet transform, which featured multiscale directional transform can overcome the disadvantage ...curvelet transform – ... See full document

... The SVM approach seeks to find the optimal separating hyper plane between classes by focusing on the training cases that are placed at the edge of the class descriptors. These training cases are called support vectors. ... See full document

... wavelet, contourlet and pyramid techniques have been widely discussed in ...IHS transform; Statistical/numerical meth- ods such as, weighted combination, Brovey, PCA, HPF ...the image data being ... See full document