شماره مدرك :
6761
شماره راهنما :
6303
پديد آورنده :
سرمدي، سعيده
عنوان :

افزايش وضوح تصوير در شبكه حسگر دوربين

مقطع تحصيلي :
كارشناسي ارشد
گرايش تحصيلي :
معماري كامپيوتر
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر
سال دفاع :
1390
صفحه شمار :
يازده،104ص.: مصور،جدول،نمودار
يادداشت :
ص.ع.به: فارسي و انگليسي
استاد راهنما :
شادرخ سماوي
توصيفگر ها :
بازسازي تصوير SR , الگوريتم بهينه سازي جفت گيري زنبورعسل , شبكه حسگر دوربين
تاريخ نمايه سازي :
22/3/91
استاد داور :
رسول امير فتاحي، محمدرضا احمدزاده
دانشكده :
مهندسي برق و كامپيوتر
كد ايرانداك :
ID6303
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي
چكيده انگليسي :
Image Resolution Enhancement in Camera Sensor Networks Saeideh Sarmadi s sarmadi@ec iut ac ir Date of Submission February 01 2012 Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language FarsiSupervisor Shadrokh Samavi samavi96@cc iut ac irAbstract In many imaging applications producing a high resolution image is required The termresolution refers to the number of pixels in an image An image with higher resolution has morepixels and represents more accurate and detailed information Resolution of an image depends onthe imaging device But due to the limitation of imaging devices and environmental conditions captured images do not have sufficient resolution One way to achieve this goal is to use powerfuland costly cameras that leads to more cost and energy consumption Thus using a sensor withhigher resolution is not a suitable solution In the case of having a sensor with fixed resolution wewould like to find a solution to increase image resolution Super resolution image reconstructionis a technique to reconstruct a high resolution image from a set of blurred and noisy lowresolution images of a scene These low resolution images are down sampled shifted and in somecases are rotated version of the original scene Super resolution techniques use given informationof different images i e shift and rotation for image recovery Hence super resolution is possibleonly if there is relative movement between pixels from one image to another Super resolution hasseveral applications in areas of video surveillance remote sensing satellite imaging medicalimaging video standard conversion etc During last decades several super resolution methodshave been introduced to increase the resolution of an image Optimization algorithms based onswarm intelligence have been developed and applied to various engineering fields over recentyears Process of honey bee mating has been considered as an optimization method in which thesearch algorithm is inspired by the process of mating in real honey bee In this thesis a newmethod to enhance the resolution of an image based on Honey Bee Mating Optimizationalgorithm is presented The experimental results show better performance of the proposedalgorithm as compared with some other super resolution methods Nowadays application ofwireless camera sensor network has increased significantly In surveillance networks which arethe most important type of camera sensor networks the goal is to capture images with highresolution from a desired scene By applying the proposed super resolution algorithm in camerasensor networks high resolution images from monitoring area could be generated Generated highresolution images satisfy requirements of surveillance application of camera sensor networks Energy consumption is the other important issue in wireless camera sensor networks Therefore selecting a subset of camera sensor nodes that decreases energy dissipation must be considered By using suitable camera selection algorithm to maximize the coverage and minimize the energydissipation network performance is increased Keywords Super Resolution image reconstruction Honey Bee Mating Optimization algorithm Camera sensor network
استاد راهنما :
شادرخ سماوي
استاد داور :
رسول امير فتاحي، محمدرضا احمدزاده
لينک به اين مدرک :

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