We study experimentally the effect of the mortar projection in an overlapping composite mesh difference method for two-dimensional elliptic problems. In [CDS99], an overlapping mortar element method was proposed. This method has several desirable properties. For example, the discretisation is consistent, the accuracy is of optimal order and the error is independent of the size of the overlap, a...

Many medical images suffer from the partial volume effect where a boundary between two structures of interest falls in the midst of a voxel giving a signal value that is a mixture of the two. We propose a method to restore the ideal boundary by splitting a voxel into subvoxels and reapportioning the signal into the subvoxels. Each voxel is divided by nearest neighbor interpolation. The gray lev...

Super-resolution is a technique of producing a high-resolution (HR) image from one or more lowresolution (LR) images. Classical interpolation based magnification techniques like nearest-neighbor, bilinear and bicubic interpolation results in a larger image along with undesirable artifacts like blurring, aliasing and ringing effects. So the aim of super-resolution is to provide a larger image wi...

The aim of this study was, to derive well-performed four-color printer device characterisation models (DCMs), which were afterwards used to pack up entries of the look up table (LUT) to perform the actual complex colour-image transformations. Based on both non-linear and non-ideal behaviours of primary colorants, two types of printing device characterisation model approaches were proposed in th...

An Image Resolution Enhancement Technique based on Interpolation of the high frequency sub-band of colour images obtained by Discrete Wavelet Transform and the input colour image is proposed in this paper. Interpolation determines the intermediate values on the basis of observed values. One of the commonly used interpolation technique is Bicubic Interpolation. The edges are enhanced by introduc...

Abstract In this paper, we propose a hybrid super-resolution method by combining global and local dictionary training in the sparse domain. order to present differentiate feature mapping different scales, set is trained multiple structure non-linear function used choose appropriate initially reconstruct HR image. addition, introduce Gaussian blur LR images eliminate widely but inappropriate ass...

Medical research indicated that narrowing of the retinal blood vessels might be an early indicator cardiovascular diseases; one them is hypertensive retinopathy. This paper proposed new staging method retinopathy by measure ratio diameter artery and vein (AVR). The dataset used in this public Messidor color fundus image dataset. consists resizing using bicubic interpolation, optic disk detectio...

This paper considers the problem of three dimensional surface reconstruction of non polyhedral objects through series of images taken from a moving camera. We propose a direct method of surface reconstruction which is based on regularized uniform bicubic B-spline surface patches 35]. This reconstruction is achieved by observing the motion of occluding contours 1, 9, 33], i.e., where the view li...

This is a supplement to our paper, “NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study” [1]. We report results for the top challenge methods [10]: SNU CVLab1 [6], SNU CVLab2 [6], Lab402 [2] and HelloSR [10] in comparison with VDSR [5] and A+ [12]. We use the classic setup (bicubic downscaling) of the challenge and report PSNR, SSIM [9], IFC [8], and CORNIA [13] results com...