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Register a new userFractal Compression of Stereo Images Using Block Matching and SGM Algorithms to Obtain the Disparity Map
الضغــط التجزيئــي للصور المجسمة باستخدام خوارزميتي مطابقة الكتل و SGM لتحصيل خريطة التفاوت
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نظرا للأهمية البالغة لضغط الصور المجسمة من جهة و بروز الهندسة التجزيئية كأحد أهم فروع العلم الحديث من جهة ثانية, قمنا في هذا البحث بتطبيق الضغط التجزيئي المعتمد على خوارزمية التقسيم باستخدام شجرة الأرباع و خوارزمية البحث العام من أجل ضغط مجموعة من أزواج الصور المجسمة . و بما أن الصورة المجسمة تتألف من صورتين يمنى و يسرى. تم ضغط الصورة المرجعية (الصورة اليسرى) من الزوج المجسم ضغطا تجزيئيا في حين تم تخمين التفاوت باستخدام خورازميتي مطابقة الكتل و Semi Global(SGM) , و تم ضغط صور خرائط التفاوت المحصلة باستخدام هاتين الخوارزميتين باستخدم الضغط التجزيئي للصور المعتمد على طريقة التقسيم باستخدام شجرة الأرباع و خوارزمية البحث العام. استخلصت الصورة اليسرى باستخدام خوارزمية فك الضغط التجزيئي و تم الاعتماد على الصورة اليسرى المستعادة و على خريطة التفاوت و صورة الخطأ المحصلة بين الصورة اليمنى الأصلية و الصورة اليمنى المبنية انطلاقا من الصورة اليسرى و خريطة التفاوت في إعادة استعادة الصورة اليمنى (صورة الهدف) . قيمت النتائج من خلال معيارين من معايير التقييم الموضوعي لجودة الضغط و هما الخطأ الوسطي التربيعي MSE و نسبة الإشارة إلى الضجيج العظمى PSNR و معيارين من معايير التقييم الموضوعي لكفاءة الضغط هما معدل الضغط CR و زمن الضغط و مقارنة النتائج مع الخوارزميات المرجعية لضغط الصور المجسمة و هي JPEG المعتمد على تحويل التجب المتقطع DCT و JPEG2000 المعتمد على تحويل المويجة المتقطع DWT .
Considering the increasing importance of stereo image compression and Fractal geometry becoming one of the most important fields of modern science ,we applied fractal image compression based on quadtree portioning method and global search algorithm , on a group of stereo image pairs . As the stereo image consists of two planar images , left and right .Both the left image ( reference image ) and the disparity map between left and right images , were compressed using fractal compression . We applied both block matching algorithm and Semi Global Method (SGM)to obtain the disparity map. The left image and the depth map were reconstructed using fractal decompression while the right image (target image ) was reconstructed using the reconstructed left image , disparity map and the error image between the original right image and the reconstructed right image that was build from the left image and the disparity map . The results were evaluated using quality objective measures which are MSE (Mean Square Error ) and PSNR (Peak Signal to Noise Ratio) and efficiency objective measures which are CR(Compression Ratio) and compression time . The results were compared with JPEG compression of stereo pairs based on Discrete Cosine Transform DCT and JPEG2000 compression of stereo pairs on stereo image based on Discrete Wavelet Transform DWT .
References used
MENDIBURU, B.Fundamentals Of Stereoscopiic Imaging. Digital Cinema Summit, Nab Las Vegas, April 18, 2009 ,1-3
PIRODDI, R .Stereoscopic 3d Technologies, Algorithm Engineer. Snell Ltd, April 2010,1-2
CHENG, Q ;CANG ,W . Designing a communication system for IVAS Stereo Video Coding Based on H.264 , Electrical Engineering , Blekinge Institute of Technology ,May 2010,4-7
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