Image interpolation using edge-directed smoothness measure filter

Kazu Mishiba, Masaaki Ikehara

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This paper proposes a novel adaptive image interpolation method using an edge-directed smoothness filter. Adaptive image interpolation methods tend to create higher visual quality images than traditional interpolation methods such as bicubic interpolation. These methods, however, often suffer from high computational costs and production of inadequate interpolated pixels. We propose a novel method to overcome these problems. Our approach is to estimate the enlarged image from the original image based on an observation model. Obtaining an image with edge-directed smoothness, we constrain the estimated image to have many edge-directed smooth pixels which aremeasured by using the edge-directed smoothness filter introduced in this paper. Additionally, we also propose a simplification of our algorithm to run with lower computational complexity and smaller memory. Simulation results show that the proposal method produces images with high visual quality and performs well on PSNR and computational times.

Original languageEnglish
Pages (from-to)1618-1624
Number of pages7
JournalIEICE Transactions on Information and Systems
VolumeE93-D
Issue number6
DOIs
Publication statusPublished - 2010 Jun

Fingerprint

Interpolation
Pixels
Image quality
Computational complexity
Data storage equipment
Costs

Keywords

  • Adaptive image interpolation
  • Edge-directed smoothness
  • Observation model

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Software
  • Artificial Intelligence
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition

Cite this

Image interpolation using edge-directed smoothness measure filter. / Mishiba, Kazu; Ikehara, Masaaki.

In: IEICE Transactions on Information and Systems, Vol. E93-D, No. 6, 06.2010, p. 1618-1624.

Research output: Contribution to journalArticle

@article{8c063cbf182845aeae5b82416a1ca389,
title = "Image interpolation using edge-directed smoothness measure filter",
abstract = "This paper proposes a novel adaptive image interpolation method using an edge-directed smoothness filter. Adaptive image interpolation methods tend to create higher visual quality images than traditional interpolation methods such as bicubic interpolation. These methods, however, often suffer from high computational costs and production of inadequate interpolated pixels. We propose a novel method to overcome these problems. Our approach is to estimate the enlarged image from the original image based on an observation model. Obtaining an image with edge-directed smoothness, we constrain the estimated image to have many edge-directed smooth pixels which aremeasured by using the edge-directed smoothness filter introduced in this paper. Additionally, we also propose a simplification of our algorithm to run with lower computational complexity and smaller memory. Simulation results show that the proposal method produces images with high visual quality and performs well on PSNR and computational times.",
keywords = "Adaptive image interpolation, Edge-directed smoothness, Observation model",
author = "Kazu Mishiba and Masaaki Ikehara",
year = "2010",
month = "6",
doi = "10.1587/transinf.E93.D.1618",
language = "English",
volume = "E93-D",
pages = "1618--1624",
journal = "IEICE Transactions on Information and Systems",
issn = "0916-8532",
publisher = "Maruzen Co., Ltd/Maruzen Kabushikikaisha",
number = "6",

}

TY - JOUR

T1 - Image interpolation using edge-directed smoothness measure filter

AU - Mishiba, Kazu

AU - Ikehara, Masaaki

PY - 2010/6

Y1 - 2010/6

N2 - This paper proposes a novel adaptive image interpolation method using an edge-directed smoothness filter. Adaptive image interpolation methods tend to create higher visual quality images than traditional interpolation methods such as bicubic interpolation. These methods, however, often suffer from high computational costs and production of inadequate interpolated pixels. We propose a novel method to overcome these problems. Our approach is to estimate the enlarged image from the original image based on an observation model. Obtaining an image with edge-directed smoothness, we constrain the estimated image to have many edge-directed smooth pixels which aremeasured by using the edge-directed smoothness filter introduced in this paper. Additionally, we also propose a simplification of our algorithm to run with lower computational complexity and smaller memory. Simulation results show that the proposal method produces images with high visual quality and performs well on PSNR and computational times.

AB - This paper proposes a novel adaptive image interpolation method using an edge-directed smoothness filter. Adaptive image interpolation methods tend to create higher visual quality images than traditional interpolation methods such as bicubic interpolation. These methods, however, often suffer from high computational costs and production of inadequate interpolated pixels. We propose a novel method to overcome these problems. Our approach is to estimate the enlarged image from the original image based on an observation model. Obtaining an image with edge-directed smoothness, we constrain the estimated image to have many edge-directed smooth pixels which aremeasured by using the edge-directed smoothness filter introduced in this paper. Additionally, we also propose a simplification of our algorithm to run with lower computational complexity and smaller memory. Simulation results show that the proposal method produces images with high visual quality and performs well on PSNR and computational times.

KW - Adaptive image interpolation

KW - Edge-directed smoothness

KW - Observation model

UR - http://www.scopus.com/inward/record.url?scp=77952970031&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77952970031&partnerID=8YFLogxK

U2 - 10.1587/transinf.E93.D.1618

DO - 10.1587/transinf.E93.D.1618

M3 - Article

AN - SCOPUS:77952970031

VL - E93-D

SP - 1618

EP - 1624

JO - IEICE Transactions on Information and Systems

JF - IEICE Transactions on Information and Systems

SN - 0916-8532

IS - 6

ER -