Medical images play an important role in medical diagnosis and research. In this paper, a transfer learning- and deep learning-based super resolution reconstruction method is introduced. The proposed method contains one bicubic interpolation template layer and two convolutional layers. The bicubic interpolation template layer is prefixed by mathematics deduction, and two convolutional layers le...

Image enhancement is an important processing task in image processing field. By applying image enhancement, blur or any type of noise in the image can be removed so that the resultant image quality is better. Image enhancement is used in various fields like medical diagnosis, remote sensing, agriculture, geology, oceanography. There are numbers of techniques for image enhancement. Image interpo...

In this paper, a new wavelet based image interpolation algorithm is proposed for remote sensing images. Remote sensing images include many mid and high frequency elements such as aerial and satellite photograph images. These frequency elements contain important information. Because conventional interpolation techniques have blurring or blocking effects, the quality of interpolated remote sensin...

Consider a bicubic rectangular patch complex which surrounds an n-sided hole in R. Then the problem of filling the hole with n bicubic rectangular patches is studied.

Image interpolation is the most basic requirement for many image processing tasks such as medical processing. a technique used in resizing an image. To change size, each pixel new must be remapped to location old calculate value. There are algorithms available determining value, of which involve some form between closest pixels In this paper, we use Bicubic algorithm size images from Messidor d...

We present a construction of a visually smooth surface which interpolates to position values and normal vectors of randomly distributed points on a 3D object. The method is local and uses quartic triangular and bicubic quadrilateral patches without splits. It heavily relies on an edge deleting algorithm which, starting from a given triangulation, derives a suitable combination of threeand four ...

This paper presents an image resolution enhancement algorithm using spatially invariant point spread function. Point spread function is used to constrain the solution space. This parameter is computed at each iteration step using partially restored image at each iteration, and High pass filter is used to impose the degree of edge smoothness on the solution. The resulting iterative algorithm exh...

This paper presents the nearest neighbor value (NNV) algorithm for high resolution (H.R.) image interpolation. The difference between the proposed algorithm and conventional nearest neighbor algorithm is that the concept applied, to estimate the missing pixel value, is guided by the nearest value rather than the distance. In other words, the proposed concept selects one pixel, among four direct...

In Image upscaling, a higher resolution image is processed from an available low resolution image. There are numerous scenarios and applications where image upscaling is required and performed. The paper proposes a simple image scaling algorithm and implements it with a fuzzy variant of the supervised ART neural network, ARTMAP. The method has been compared with nearest neighbor interpolation, ...

We collsider IlOlving separable, second order. linear elliptic partial differential equations. If an elliptic problem is separable, then, for certain discretizations. the matrices involved in the corresponding discrete problem can be expressed in terms of tensor products of lower order matrices. In the most general case. the discrete problem can be written in the form (Al@Bz +81i&lA,2)C ==F. We...