When using machine learning methods to make predictions, the problem of small sample sizes or highly noisy observation samples is common. Current mainstream expansion cannot handle data noise well. We propose a multipath method (AMLI) based on idea linear interpolation, which mainly solves insufficient prediction size large error between observed and actual distribution. The rationale AMLI divi...

World has entered in 21 century. The technology of computer graphics and digital cameras is prevalent. High resolution display and printer are available. Therefore high resolution images are needed in order to produce high quality display images and high quality prints. However, since high resolution images are not usually provided, there is a need to magnify the original images. One common dif...

Abstract —A motion adaptive deinterlacing algorithm is presented in this paper. It consists of the ELA-Median directional interpolation, same-parity 4-field horizontal motion detection, morphological operation for noise reduction and adaptive threshold adjusting. The edges can be sharper when the ELA-Median directional interpolation is adopted. The same-parity 4-field horizontal motion detectio...

A low-complexity adaptive scaling algorithm is proposed for the implementation of 2-D image scaling applications. a less complexity, less memory requirement, and high performance algorithm is proposed for Very Large Scale Integration implementation of an image scaling processor. The anticipated image scaling algorithm consists of a clamp filter, spatial filter and a bilinear interpolation. The ...

Conventional linear interpolation methods produce interpolated images with blurred edges, while edge directed interpolation methods make enlarged images with good quality edges but with details distortion for some cases. An adaptive rational-based algorithm for the interpolation of digital images with arbitrary scaling factors is proposed. In order to remove artifacts, we construct a new interp...

This paper presents some new techniques for high resolution (HR) image processing and compares between them. The paper focuses on two main topics, image interpolation and image superresolution. By image interpolation, we mean extracting an HR image from a single Degraded low resolution (LR) image. Polynomial based image interpolation is reviewed. Some new techniques for adaptive image interpola...

In this paper, a de-interlacing technique using motion compensated interpolation is proposed. In the proposed scheme motion estimation is first performed between the same parity field i.e., reference and current field from either odd or even fields. Compared to other motion adaptive and motion compensated interpolation technique this method results in a better visual quality due to an accurate ...

Consumer-level digital cameras observe a single value at each pixel. The remaining two channels of a three-channel image are reconstructed through a process called demosaicking. This paper describes a methodology for enhancing current demosaicking methods. Using an iterative relaxation approach from probabilistic AI literature, our empirical results show that we can improve the results of the s...

We revisit the classical algorithms for searching over sorted sets and introduce an algorithm refinement, called adaptive search, that combines the good features of Interpolation search and those of Binary search. W.r.t. Insertion sort, only a constant number of extra comparisons is introduced. Yet, under several relevant input data distributions our algorithm shows average case cost comparable...