A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Mule, S. B.
- Color Image Enhancement using Discrete Wavelet Transform
Authors
1 Sinhgad college of Engineering, Vadagaon (BK), Pune, IN
2 Department of E&TC, IN
Source
Digital Image Processing, Vol 4, No 14 (2012), Pagination: 801-806Abstract
Noise filters tend to blur image detail, while filters for image sharpening tend to increase noise. So, cascading the two filters does not always give the best performance. We present an integrated filter that reduces noise or sharpens details in a noisy signal, depending on local image statistics. Most traditional noise reduction methods tend to oversuppress high-frequency details. For overcoming this problem we first decompose the input image into flat and edge regions,and remove noise using the alpha map computed from wavelet transform coefficients of LH, HL, and HH bands. After removing noise in the flat region, we further remove noise in edge regions by adaptively shrinking wavelet coefficients based on the entropy. Moreover, we present a new directional transform using wavelet basis and Gaussian low pass filters. The wavelet coefficients of edge regions are inverse transformed by using the filtered wavelet bases. Experimental results show the proposed algorithm can reduce noise without losing sharp details and is suitable for commercial low-cost imaging systems, such as digital cameras and surveillance system.
Keywords
Entropy Analysis, Image Denoising, Noise Reduction, Wavelet Transform.
- Embedded Linux Based Graphics LCD Application Development
Authors
1 SIT, Lonavala, IN
2 MAE, Aalandi, IN
3 SCOE, Pune, IN
Source
Journal of Advances in Engineering Sciences, Vol 3, No 2 (2010), Pagination: 29-32Abstract
Linux is a popular operating system for embedded systems. Linux has come a long way since its humble beginnings in 1991. Today Linux supports a very wide range of platforms, from Embedded Systems based on ARM, PowerPC, Intel, and Hitachi microprocessors. It also served as a launch pad for the open source movement, and consequently leads to great interest. This paper describes one such application of Linux of generating software for interfacing Graphics LCD using hardware ARM9 Single Board Computer. Uses sensor card to get data. This data will be from various sensors. This data is to be shown on the LCD. For some data will have to do perform some calculations and then display on the LCD. Data will be updated every second. This will involve interface of Color LCD, keypad, encoder. This will also require interface with PC for future expansion to create interface with Webpage.- Advanced Driver Assistance System Using Vehicle to Vehicle Communication
Authors
1 Tata Consultancy Services, Pune, IN
2 Sinhgad College of Engineering, Pune, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 10, No 6 (2018), Pagination: 142-144Abstract
Increasing numbers of vehicles on the road are adding to the problems associated with road traffic. Efficient monitoring of vehicles is need of time for smooth traffic flow. Safety System for Vehicle collision avoidance is prime challenge to be met. Many technologies are in action for collision free traffic. Pertaining to this, Intelligent Collision Avoidance (ICWA) system based on V2V (Vehicle to Vehicle) Communication is proposed which addresses the issue of collision avoidance. ICWA is one of the leading research feature of Advanced Driver Assistance System (ADAS). In this optimized algorithm is developed for collision avoidance, safety zones are created for each vehicle. Overlapping of these safety zones found by this algorithm. It establishes Vehicle to Vehicle communication through wireless protocol Wi-Fi. In this frames Contain vehicular parameters (speed, location of car, turn signal etc.). Each car can transmit and receive the frames from other cars which are within the communication range. This information is takes as input to collision avoidance warning system algorithm. If there is accidental situation, system gives warning to the driver. Apart from this, Android application is developed to make the system more secure and user friendly. The system is implemented on Virtual car environment with street map and gives the warning based on the accidental situation predicted by the algorithm using vehicular information of all cars within the range of communication.
References
- Y.Morioka, T.Sota, M.Nakagawa, An Anti-Car-Collision System Using DGPS and 5.8GHz Inter-Vehicle Communication at an off- sight Intersection, Technical Report of IEICE ITS2000-4, 2000, pp.19-24.
- Han-ShueTan and JihuaHuang,”DGPS-Based Vehicle-to-Vehicle Cooperative Collision Warning: Engineering Feasibility Viewpoints”, IEEE Transactions on Intelligent Transportation Systems, vol.7, no.4, December 2006, pp. 415 428.
- Samer Ammoun, Fawzi Nashashibi, Claude Laurgeau ”Real-time crash avoidance system on crossroads based on 802.11 devices and GPS receivers”, in proceedings of the IEEE ITSC 2006, IEEE Intelligent Transportation Systems Conference Toronto,Canada, September 2006.
- ETSI EN 300 674 V1.1.1 (1999-02): Electromagnetic Compatibility and Radio Spectrum Matters (ERM); Road Transport and Traffic Telematics (RTTT); Technical characteristics and test methods for Dedicated Short Range Communication (DSRC) transmission equipment (500 kbit/s / 250 kbit/s) operating in the 5.8 GHz Industrial, Scientific and Medical (ISM) band.
- http://wireless.fcc.gov/services/index.htm?job=servie homeid=dedicated_src
- Federal Communications Commission (FCC) Website, Dedicated Short Range Communications (DSRC)
- IEEE 1609 Family Standard of Wireless Access in Vehicular Environments (WAVE).