Blind Image De-convolution In Surveillance Systems By Genetic Programming
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 4
Abstract
surveillance systems has an important part as a Image acquisition and filtering, segmentation, object detection and tracking the object in that image. In blind image de-convolution .most of the methods requires that the PSF and the original image must be irreducible. Blurring is a perturbation due to the imaging system while noise is intrinsic to the detection process. Therefore image de-convolution is basically a post-processing of the detected images aimed to reduce the disturbing effects of blurring and noise. Image de-convolution implies the solution of a linear equation ,but this problem turns out to be ill-posed: the solution may not exist or may not be unique. Moreover, even if a unique solution can be found this solution is strongly perturbed by noise propagation. In this papers we proposed a genetic programming based blind image de-convolution Blind De-convolution algorithm can be used effectively when of distortion is known. It restores image and Point Spread Function (PSF) simultaneously. This algorithm can be achieved based on Maximum Likelihood Estimation (MLE).
Authors and Affiliations
Miss. Shweta R. Kadu , Prof. A. D. Gawande , Prof L. K Gautam
Keywords
Related Articles
- EP ID EP146578
- DOI -
- Views 82
- Downloads 0
Realizing Peer-to-Peer and Distributed Web Crawler
The tremendous growth of the World Wide Web has made tools such as search engines and information retrieval systems have become essential. In this dissertation, we propose a fully distributed, peer-to-peer architec...
SECURE DATA DELIVERY USING GEOGRAPHIC MULTICAST ROUTING
In MANET group communication is an important characteristic which can be implemented through Multicasting. MANET has a dynamic topology through which the mobile nodes keep changing their location and thus it doesn’t have...
Decision Strategies during vertical handover in heterogeneous networks
The next generation (4G) wireless networks is envisioned as a union of different access technologies, using terminals with multiple access interfaces and non-real-time or real-time services. Providing the user wi...
Discovering Semantic Similarity between Words Using Web Document and Context Aware Semantic Association Ranking
The growth of information in the web is too large, so search engine come to play a more critical role to find relation between input keywords. Semantic Similarity Measure is widely used in Information Retrieval (IR...
A Survey on Data Aggregation Techniques for Wireless Sensor Networks
Abstract-Wireless Sensor Network is an area of growing interest in which recent advancements in the field of sensing, computing and communication attracted various research efforts. Limitations of sensors involve power c...