IJE TRANSACTIONS B: Applications Vol. 30, No. 8 (August 2017) 1118-1125   

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Z. Mortezaie, H. Hassanpour and S. Asadi Amiri
( Received: April 24, 2017 – Accepted in Revised Form: July 07, 2017 )

Abstract    Technical limitations in image capturing usually impose defective, such as contrast degradation. There are different approaches to improve the contrast of an image. Among the exiting approaches, un-sharp masking is a popular method due to its simplicity in implementation and computation. There is an important parameter in un-sharp masking, named gain factor, which affects the quality of the enhanced image. In this paper, a new adaptive un-sharp masking method is proposed. In the proposed method gradient variation of the image is used to estimate the gain factor for un-sharp masking. Gradient variation of an image can provide information about the image contrast. Subjective and objective image quality assessments are used to compare the performance of the proposed method both with the classic and the recently developed un-sharp masking methods. The experimental results show the superiority of the proposed method compared to the existing methods in image enhancing using un-sharp masking.


Keywords    un-sharp masking, blur image, image gradient, image enhancement


چکیده    محدودیت­های تکینیکی معمولا خرابی­هایی در تصاویر ثبت شده ایجاد می­کنند که کاهش کنتراست تصویر یکی از انواع این خرابی­هاست. برای بهبود کنتراست تصویر، راهکارهای مختلفی وجود دارد. در میان این راهکارها، روش ماسک غیر تیز به­علت سادگی در پیاده­سازی و محاسبات، دارای محبوبیت بیشتری است. این روش دارای پارامتر مهمی به نام ضریب تقویت است که این ضریب در کیفیت تصویر بهبودیافته تاثیر می­گذارد. در این مقاله یک روش ماسک غیر تیز وقفی پیشنهاد شده است. در این روش برای تخمین ضریب تقویت، از تغییرات گرادیان تصویر استفاده می­شود. تغییرات گرادیان تصویر، اطلاعاتی درباره کنتراست تصویر فراهم می­کند. معیارهای ارزیابی کیفی و کمی برای مقایسه عملکرد روش پیشنهادی با روش کلاسیک و روش توسعه یافته جدید ماسک غیر تیز به­کار رفته است. بررسی­های انجام شده، نشان دهنده برتری روش پیشنهادی نسبت به روش­های موجود ماسک غیر تیز است.


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