ارائه روشی ترکیبی برای تغییر اندازه تصویر بر اساس محتوای آن

نوع مقاله : مقاله پژوهشی

نویسندگان

دانشکده مهندسی برق و کامپیوتر - دانشگاه سمنان

چکیده

امروزه ابزارهای بسیاری برای تبادل تصاویر با کاربردهای مختلف وجود دارند. به‌دلیل نیاز استفاده از تصاویر برای کاربردهای مختلف و در وسایل متفاوت، نیاز به تغییر اندازه تصاویر امری ضروری است. این تغییر اندازه باید به‌گونه‌ای انجام شود که محتوای اطلاعاتی تصاویر تا حد امکان حفظ گردد. در این مقاله دو روش پیشنهادی برای تغییر اندازه تصویر مبتنی بر محتوای تصویر ارائه شده است که از ترکیب الگوریتم حذف درز و مقیاس‌دهی برای تغییر ابعاد تصویر استفاده می‌کند. در هر دو روش، ابتدا نواحی مهم تصویر تعیین می‌شود و در این نواحی به جهت اهمیت محتوا از الگوریتم حذف درز و در سایر نواحی از روش مقیاس‌دهی برای تغییر اندازه تصویر استفاده می‌گردد. تفاوت دو روش پیشنهادی در میزان تغییر اندازه نواحی مهم تصویر می‌باشد. نتایج شبیه‌سازی بر روی پایگاه داده استاندارد و در مقایسه با سایر روش‌های مطرح در این زمینه نشان‌دهنده عملکرد مناسب روش پیشنهادی بر روی انواع مختلفی از تصاویر و به‌خصوص تصاویر با پیچیدگی اطلاعاتی زیاد می‌باشد.

کلیدواژه‌ها


عنوان مقاله [English]

A Combined Method for Content Based Image Resizing

نویسندگان [English]

  • Farzin Yaghmaee
  • Kimia Peyvandy
Electrical and Computer Engineering Department, Semnan University
چکیده [English]

Nowadays there are many different devices for displaying images. According to using images in different applications and various devices, displaying the images in different display size is vital and essential. Therefore it is very important to preserve content of images during resizing. In this paper, we present two different methods for content aware image resizing that combined with Seam carving algorithm and scaling. In both methods, at first the important regions of image are determined. After that Seam carving algorithm is used in these important regions and traditional scaling is applied for other regions. The proposed approaches are implemented and the experimental result shows that these methods are appropriate for various images especially in content images with many objects and edges.

کلیدواژه‌ها [English]

  • Image resizing
  • seam carving
  • scaling
  • region of interest
[1]S. Avidan and A. Shamir, “Seam Carving for Content-Aware Image Resizing,ACM Transaction on Graphics,vol. 26, no. 10,2007.
[2]J.Lee, D.Kim,Fast Seam Carving Using Parallel Update and Divide and Conquer Method,” IEEE Symposium on Signal Processing and Information Technology (ISSPIT),pp. 107-112,2009.
[3]Y.Liang, Zh. Su and X. Luo,Patchwise Scaling Method for Content-Aware Image Resizing,”Signal Processing, vol. 92,pp. 1243-1257, 2012.
[4]K.ThilagamandS.Karthikeyan, “An Analysis of Hybrid Techniques of Seam Carving,International Journal on ComputerScience and Engineering(IJCSE), vol.3, no. 4, 2011.
[5]W.Dong, N.Zhou, J.C.PaulandX.Zhang,Optimizing Image Resizing Using Seam Carving and Scaling,” ACM Transaction on Graphics, vol. 28, 2009.
[6]V. Setlur, S.Takagi, R.Raskar, M.Gleicher and B.Gooch,Automatic Image Retargeting,4th international conference on Mobile and ubiquitous multimedia (MUM),pp. 59-68,2005.
[7]M. Rubinstein, A. Shamir and S. Avidan,Multioperator Media Retargeting,” ACM Transactions on Graphics,vol. 28, no. 23,2009.
[8]W.Dong, N. Zhou, J.C. Paul and X. Zhang,Optimized Image Resizing Using Seam Carving and Scaling,”ACM Transactions on Graphics, vol. 28, 2009.
[9]S.Subramanian, K.Kumar, B.Mishra, A.BanerjeeandD.Bhattacharya, FuzzyLogic Based Content Protection for Image Resizing by Seam Carving,IEEE Conference onSoft Computing in Industrial Applications, 2008.
[10]B.Saha,T. Dasguptaand S. Bhattacharya, An Improved Content Aware Image Resizing Algorithm based on a Novel Adaptive Seam Detection Technique,International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2015.
[11]K. Mishibaand M. Ikehara,“Block-based Seam Carving,” IEEE 1st International Symposium on Access Spaces (ISAS), pp. 111-115, 2011.
[12]S.M. Hashemi1andA. Broumandnia, A New Method for Image Resizing Algorithm via Object Detection, International journal of mechatronics(IJMEC),Vol. 5, PP. 2355-2362, 2015.
[13]S. Hue, G. Chen,H. Weiand Q. Jiang,Similarity measure for image resizing using SIFT feature,EURASIP Journal on Image and Video Processing, 2012.
[14]W. Dong,N. Zhou, J. C. Pauland X. Zhang,“Optimized image resizing using seam carving and scaling,ACM Transactionon Graphics, vol. 28, no. 5, pp. 1-10, 2009.
[15]Z.K.Senturk andD. Akgun, A performance analysis of seam carving algorithm based on energy function,24th Signal Processing and Communication Application Conference (SIU), 2016.
[16]Z. YanandQ. Wenjing, Bi-directional Carving Based on Saliency Map via Absorbing Markov Chain,Intelligent Computation Technology and Automation (ICICTA),2014.
[17]H. NohandB. Han, “Seam Carving with Forward Gradient Difference Maps,” 20th ACM international conference on Multimedia, pp. 709-712, 2012.
[18]C. ChangandH. Lin,C. Hsieh,“Novel Stereo Imageand Video Retargeting Approach,International journal of Innovative Computing, Information and Control, vol. 9, no. 4, 2013.
[19]A. Mishraet al, “DESIRe: Discontinuous energy seam carving for image retargeting via structural and textural energy functionals,IEEE International Conference onImage Processing (ICIP), 2015.
[20]K. TilagamandS. Karthikeyan,Optimized Image Resizing using Piecewise Seam Carving,” International Journal of Computer Applications,vol. 42, no. 14, pp. 24-30, 2012.
[21]J. Harel, C. Koch andP. Perona, Graph-based visual saliency,Advances in neural information processing systems, 2006.
[22]M. Rubstein, D. Gutierrez,O. Sorkine and A. Shamir,“A comparative study of image retargeting,ACM Transaction Graphics, vol. 29, no. 6, 2010.
[23]M. Rubstein, A. Shamir and S.Avidan,“ImprovedSeamcarving for video retargeting,” ACM TransactiononGraphics, vol. 27, no. 16, 2008.
[24]M. Rubstein, A. ShamirandS. Avidan, Multi-operator media retargeting,ACM Transaction onGraphics,vol. 28, no. 23,2009.
[25]L. Wolf, M. Guttmann, D. Cohen-or,Non-homogeneous content-driven video-retargeting,IEEE International Conference on Computer Vision(ICCV), 2007.