Quality evaluation model using local features of still picture

Yuukou Horita; Masaharu Sato; Yoshikazu Kawayoke; Z. M.Parvez Sazzad; Keiji Shibata

Quality evaluation model using local features of still picture

Yuukou Horita^*, Masaharu Sato, Yoshikazu Kawayoke, Z. M.Parvez Sazzad, Keiji Shibata

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

3 Scopus citations

Abstract

The objective image quality evaluation model for coded image without using the reference is very useful for quality oriented image compression. In this paper, a new objective no-reference (NR) image quality evaluation model for JPEG coded image is presented, which is easy to calculate and applicable to various image processing applications. The proposed model is based on the local features information of the image such as edge, flat and texture area and also on the blockiness, activity measures, and zero crossing rate within block of the image. Our experiments on various image distortion types indicate that it performs significantly better than the conventional model.

Original language	English
Journal	European Signal Processing Conference
State	Published - 2006
Event	14th European Signal Processing Conference, EUSIPCO 2006 - Florence, Italy Duration: 2006/09/04 → 2006/09/08

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering

Cite this

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title = "Quality evaluation model using local features of still picture",

abstract = "The objective image quality evaluation model for coded image without using the reference is very useful for quality oriented image compression. In this paper, a new objective no-reference (NR) image quality evaluation model for JPEG coded image is presented, which is easy to calculate and applicable to various image processing applications. The proposed model is based on the local features information of the image such as edge, flat and texture area and also on the blockiness, activity measures, and zero crossing rate within block of the image. Our experiments on various image distortion types indicate that it performs significantly better than the conventional model.",

author = "Yuukou Horita and Masaharu Sato and Yoshikazu Kawayoke and Sazzad, {Z. M.Parvez} and Keiji Shibata",

year = "2006",

language = "英語",

journal = "European Signal Processing Conference",

issn = "2219-5491",

publisher = "European Signal Processing Conference, EUSIPCO",

note = "14th European Signal Processing Conference, EUSIPCO 2006 ; Conference date: 04-09-2006 Through 08-09-2006",

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TY - JOUR

T1 - Quality evaluation model using local features of still picture

AU - Horita, Yuukou

AU - Sato, Masaharu

AU - Kawayoke, Yoshikazu

AU - Sazzad, Z. M.Parvez

AU - Shibata, Keiji

PY - 2006

Y1 - 2006

N2 - The objective image quality evaluation model for coded image without using the reference is very useful for quality oriented image compression. In this paper, a new objective no-reference (NR) image quality evaluation model for JPEG coded image is presented, which is easy to calculate and applicable to various image processing applications. The proposed model is based on the local features information of the image such as edge, flat and texture area and also on the blockiness, activity measures, and zero crossing rate within block of the image. Our experiments on various image distortion types indicate that it performs significantly better than the conventional model.

AB - The objective image quality evaluation model for coded image without using the reference is very useful for quality oriented image compression. In this paper, a new objective no-reference (NR) image quality evaluation model for JPEG coded image is presented, which is easy to calculate and applicable to various image processing applications. The proposed model is based on the local features information of the image such as edge, flat and texture area and also on the blockiness, activity measures, and zero crossing rate within block of the image. Our experiments on various image distortion types indicate that it performs significantly better than the conventional model.

UR - http://www.scopus.com/inward/record.url?scp=84862598318&partnerID=8YFLogxK

M3 - 会議記事

AN - SCOPUS:84862598318

SN - 2219-5491

JO - European Signal Processing Conference

JF - European Signal Processing Conference

T2 - 14th European Signal Processing Conference, EUSIPCO 2006

Y2 - 4 September 2006 through 8 September 2006

ER -

Quality evaluation model using local features of still picture

Abstract

ASJC Scopus subject areas

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