IJE TRANSACTIONS A: Basics Vol. 27, No. 1 (January 2014) 15-28   

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N. Nowrozian and H. Hassanpour
( Received: June 18, 2013 – Accepted: August 22, 2013 )

Abstract    The main issue in any image zooming techniques is to preserve the structure of the zoomed image. The zoomed image may suffer from the discontinuities in the soft regions and edges; it may contain artifacts, such as image blurring and blocky, and staircase effects. This paper presents a novel image zooming technique using Partial Differential Equations (PDEs). It combines a non-linear Fourth-order PDE method with the Locally Adaptive Zooming (LAZ) algorithm. The proposed method uses high-resolution image obtained from LAZ algorithm to construct zoomed image by Fourth-order PDE. This proposed method preserves edges and minimizes blurring and staircase effects in the zoomed image. In order to evaluate image quality obtained from the proposed method, this paper focuses on both subjective and objective assessments. The results of these measures on a variety of images show that the proposed method is superior over the other image zooming methods.


Keywords    Image zooming, Partial Differential Equations (PDEs), nonlinear fourth-order PDE, locally adaptive zooming algorithm (LAZ), Unsharp masking


چکیده    مسئله اصلی در هر تکنولوژی بزرگنمایی تصویر حفظ ساختار تصویر بزرگنمایی شده است. این مقاله یک روش جدید بزرگنمایی تصویر با استفاده از معادله مشتقات جزئی را ارائه می دهد. روش پیشنهادی، ترکیبی از الگوریتم حذف نویز بر اساس معادلات مشتقات مرتبه چهارم با الگوریتم LAZ می باشد. این روش برای بزرگنمایی تصویر با استفاده از معادلات مشتقات مرتبه چهارم از تصویر رزولوشن بالای بدست آمده از الگوریتم LAZ استفاده می کند. روش پیشنهادی لبه ها را حفظ می کند و مصنوعات ماتی و ستاره ای در تصویر بزرگنمایی­شده را به حداقل می رساند. به منظور ارزیابی کیفیت تصویر بدست آمده از روش پیشنهادی، این مقاله روی هر دو معیار ارزیابی کمی و کیفی متمرکز شده است. نتایج این ارزیابی ها بر روی تصاویر متنوع، برتری روش پیشنهادی را نسبت به دیگر روش های بزرگنمایی تصویر نشان می دهد.



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