Book Chapter10.1007/978-3-642-34487-9_49
A fast edge-directed interpolation algorithm
Qichong Tian,Hao Wen,Chenhui Zhou,Wei Chen +3 more
- 12 Nov 2012
- pp 398-405
10
TL;DR: The experimental results show that the proposed fast edge-directed interpolation algorithm outperforms some existing interpolation algorithms in terms of image quality and processing speed.
read more
Abstract: Image interpolation is a method of obtaining a high resolution image from a low resolution image, which is applied to many image processing procedures In order to make the interpolated image having smooth edges and make the interpolation processing fast, we propose a fast edge-directed interpolation algorithm in this paper The proposed method consists of three steps, the determination of nonedge pixels and edge pixels, the bilinear interpolation for nonedge pixels, and the edge-adaptive interpolation for edge pixels The experimental results show that it outperforms some existing interpolation algorithms in terms of image quality and processing speed
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Evaluation of Rounding Functions in Nearest Neighbor Interpolation
TL;DR: In this paper, a novel evaluation study of the most appropriate round function for nearest-neighbor (NN) image interpolation is presented, based on the IEEE 754-2008 standard.
18
Effects of empty bins on image upscaling in capsule endoscopy
Olivier Rukundo
- 21 Jul 2017
TL;DR: A low contrast enhancement method based on pixels consecutiveness and modified bilinear weighting scheme has been developed to distinguish between necessary empty bins and unnecessary empty bins in the effort to minimize the number of empty bins on image upscaling in capsule endoscopy.
Image Resolution Enhancement Using Improved Edge Directed Interpolation Algorithm
Shamim Hossain,Hamid A. Jalab,Hasan Kahtan,Azma Abdullah +3 more
- 01 Nov 2019
TL;DR: An improved edge directed interpolation (EDI) algorithm is proposed, which is able to preserve the sharpness of edges and provides the higher performance of the subjective and objective quality than the standing EDI methods.
8
Normalized Weighting Schemes for Image Interpolation Algorithms
29 Jan 2023
TL;DR: In this paper , the authors introduced four weighting schemes based on some geometric shapes for digital image interpolation operations, and the quantity used to express the extent of each shape's weight was the normalized area, especially when the sums of areas exceeded a unit square size.
•Posted Content
Normalized Weighting Schemes for Image Interpolation Algorithms.
TL;DR: This paper presents and evaluates four weighting schemes for image interpolation algorithms based on the normalized area of the circle, whose diameter is equal to the minimum side of a tetragon, and the normalized Area of the triangle, whose base and height areequal to the hypotenuse and virtual pixel length, respectively.
6
References
New edge-directed interpolation
Xin Li,Michael T. Orchard +1 more
TL;DR: Simulation results demonstrate that the new interpolation algorithm substantially improves the subjective quality of the interpolated images over conventional linear interpolation.
2.2K
Survey: interpolation methods in medical image processing
TL;DR: The goal of this study was to present a comprehensive catalogue of methods in a uniform terminology, to define general properties and requirements of local techniques, and to enable the reader to select that method which is optimal for his specific application in medical imaging.
An edge-guided image interpolation algorithm via directional filtering and data fusion
Lei Zhang,Xiaolin Wu +1 more
TL;DR: A new edge-guided nonlinear interpolation technique is proposed through directional filtering and data fusion that can preserve edge sharpness and reduce ringing artifacts in image interpolation algorithms.
Edge-directed interpolation
Jan P. Allebach,Ping Wah Wong +1 more
- 16 Sep 1996
TL;DR: A new method for digitally interpolating images to higher resolution based on bilinear interpolation modified to prevent interpolation across edges, as determined from the estimated high resolution edge map is presented.
495
Image super-resolution survey
TL;DR: Strengths and weaknesses are listed with the intent to spot chances for combination or improvement of techniques, thereby forming a base for future improved super-resolution algorithms.
369