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Paper
title

Comparing Some New Methods in Image Resizing

Credit to Download: 1 | Page Numbers 5 | Abstract Views: 338
Year: 2015
COI code: ISCEE18_098
Paper Language: English

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Authors Comparing Some New Methods in Image Resizing

  Seyyed Mohammad Reza Hashemi - Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran1
  Ali Broumandnia - University, Tehran, Iran

Abstract:

With recent advances in imaging technology, digital images have been introduced as an important part of media distribution. Although usually presented once, images need to be altered under various circumstances for reuse. In addition, varying screens can be employed to show the images, which include high-resolution monitors to low-resolution mobile devices. As a result, in recent years, image resizing has gained much account, with methods being presented which are based on efficiency accuracy in resizing algorithm. This paper compares some new methods of resizing algorithm in standard MIT RETARGETING database. It has used a quality metric to evaluate the quality of image resizing, and has employed structural features of the image in SIFT detector as well as EMD metric to evaluate color quality of the resized image, eventually to show the efficiency of each in accordance to the results. Finally the paper gives a general conclusion of the new methods in this algorithm.

Keywords:

object detection, image salience, image resizing algorithm, Markof Algorithm

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COI code: ISCEE18_098

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Hashemi, Seyyed Mohammad Reza & Ali Broumandnia, 2015, Comparing Some New Methods in Image Resizing, 18th  Conference on Electrical Engineering OF Iranian Student, مشهد, سازمان علمي دانشجويي مهندسي برق كشور, https://www.civilica.com/Paper-ISCEE18-ISCEE18_098.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Hashemi, Seyyed Mohammad Reza & Ali Broumandnia, 2015)
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The University/Research Center Information:
Type: Azad University
Paper No.: 9233
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