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ESYSTEMS 5874a77119091f09e47479ec False 104 1
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Fast Image Dehazing Method Based on Linear Transformation Images captured in hazy or foggy weather conditions are seriously degraded by the scattering of atmospheric particles, which directly influences the performance of outdoor computer vision systems. In this paper, a fast algorithm for single image dehazing is proposed based on linear transformation by assuming that a linear relationship exists in the minimum channel between the hazy image and the haze-free image. First, the principle of linear transformation is analyzed. Accordingly, the method of estimating a medium transmission map is detailed and the weakening strategies are introduced to solve the problem of the brightest areas of distortion. To accurately estimate the atmospheric light, an additional channel method is proposed based on quad-tree subdivision. In this method, average grays and gradients in the region are employed as assessment criteria. Finally, the haze-free image is obtained using the atmospheric scattering model. Numerous experimental results show that this algorithm can clearly and naturally recover the image, especially at the edges of sudden changes in the depth of field. It can, thus, achieve a good effect for single image dehazing. Furthermore, the algorithmic time complexity is a linear function of the image size. This has obvious advantages in running time by guaranteeing a balance between the running speed and the processing effect.
MATLAB TRAINING with in three weeks course content given below I. Introduction to MATLAB II. Introduction to SIMULINK III. Digital Image Processing Toolbox IV. Signal Processing Toolbox V. Communication Toolbox VI. PROJECT IMPLEMENTATION for fee details contact Address: A2, ground Floor, Omega Apartments, opp KV BANK, Yellareddy guda road, Opp RS Brothers Ameerpet, Hyderabad-500 073, Telangana. Phone: +91 8686 522 186 +91 8686 522 184 website: www.esystems.co.in
LOW COST IEEE 2017-2018 PROJECTS AVAILABLE WITH PAPER PUBLISHING , PLAGIARISM REPORT M.TECH COMPUTER SCIENCE ENGINEERING M.TECH IMAGE PROCESSING M.TECH SIGNAL PROCESSING M.TECH EMBEDDED SYSTEMS M.TECH VLSI M.TECH SOFTWARE ENGINEERING POWER ELECTRONICS M.TECH POWER SYSTEMS M.TECH CAD/CAM M.TECH THERMAL ENGINEERING M.TECH TRANSPORT ENGINEERING M.TECH HIGHWAY ENGINEERING Low Cost Ieee 2017 -2018 Projects Available with Low cost
IEEE 2016 signal Processing Projects are available contact venkat 8686522186
IEEE 2016 Image Processing Projects available contact venkat 8686522186
Low Cost Smart Water meters available Water meter for effective & efficient Water Management: 1) No air measurement, 2) No maintenance, longer life, 3) List count - 2 ltr./ hr. flow. 4) Vertical, Horizontal, fixing possible 5) No reverse flow deduction in reading 6) Digital display. 7) Inbuilt Battery 8) Inbuilt RF – AMR (865.5 MHz) 9) 16 YEAR Battery life, 10) 1 time calibrated product. 11) Accuracy – constant 12) Smart alarms – like Leak, Burst, Dry, Reverse, Temper. 13) Logger for 460 days, -- daily readings. 14) Target date billing possible.
IOT Solar Power Monitoring System Solar power plants need to be monitored for optimum power output. This helps retrieve efficient power output from power plants while monitoring for faulty solar panels, connections, dust accumulated on panels lowering output and other such issues affecting solar performance. So here we propose an automated IOT based solar power monitoring system that allows for automated solar power monitoring from anywhere over the internet. We use arduino based system to monitor a 10Watt solar panel parameters. Our system constantly monitors the solar panel and transmits the power output to IOT system over the internet. Here we use IOT Gecko to transmit solar power parameters over the internet to IOT Gecko server. It now displays these parameters to the user using an effective GUI and also alerts user when the output falls below specific limits. This makes remotely monitoring of solar plants very easy and ensure best power output.
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