Adaptive rational interpolation has been designed in the context of image processing as a new nonlinear technique that avoids Gibbs phenomenon when we approximate discontinuous function. In this work, present generalization to method giving explicit expressions for all weights any order algorithm. It similar behavior weighted essentially non oscillatory (WENO) but design case is more simple. Al...

This paper proposes a method to improve the fractional interpolation of reference samples in Versatile Video Coding (VVC) intra prediction. The proposed uses additional filters which use more integer-positioned for prediction according frequency information samples. In VVC, 4-tap Discrete Cosine Transform-based filter (DCT-IF) and Smoothing (SIF) are alternatively performed on block size direct...

The recent explosion of publicly available biology gene sequences and chemical compounds offers an unprecedented opportunity for data mining. To make data analysis feasible for such vast volume and high-dimensional scientific data, we apply high performance dimension reduction algorithms. It facilitates the investigation of unknown structures in a three dimensional visualization. Among the know...

Demosaicing is a process of obtaining a full color image by interpolating the missing colors of an image captured from a digital still and video cameras that use a single-sensor array.The edges are not handled properly in the existing demosaicking methods. This study provides an effective demosaicing algorithm applying an adaptive weighted-edge interpolation to handle green pixels. Due to the i...

Abstract In this paper, we propose a multi direction color interpolation method for multiple channel images. The proposed gradient judgment method silences the mediocre color interpolation artifacts. We adopted various weights from different directional gradients for conducting adaptive directional interpolation. The proposed weights are computed using correlation and intensity differences. The...

This paper proposes an edge-directed interpolation algorithm for natural images. The basic idea is to first estimate local covariance coefficients from a low-resolution image and then use these covariance estimates to adapt the interpolation at a higher resolution based on the geometric duality between the low-resolution covariance and the high-resolution covariance. The edge-directed property ...