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A low cost hardware architecture for illumination adjustment in real-time applications

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Final Year IEEE Projects for BE, B.Tech, ME, M.Tech,M.Sc, MCA & Diploma Students latest Java, .Net, Matlab, NS2, Android, Embedded,Mechanical, Robtics, VLSI, Power Electronics, IEEE projects are given absolutely complete working product and document providing with real time Software & Embedded training......

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A low cost hardware architecture for illumination adjustment in real-time applications

  1. 1. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com A LOW-COST HARDWARE ARCHITECTURE FOR ILLUMINATION ADJUSTMENT IN REAL-TIME APPLICATIONS By A PROJECT REPORT Submitted to the Department of electronics &communication Engineering in the FACULTY OF ENGINEERING & TECHNOLOGY In partial fulfillment of the requirements for the award of the degree Of MASTER OF TECHNOLOGY IN ELECTRONICS &COMMUNICATION ENGINEERING APRIL 2016
  2. 2. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com CERTIFICATE Certified that this project report titled “A Low-Cost Hardware Architecture for Illumination Adjustment in Real-Time Applications” is the bonafide work of Mr. _____________Who carried out the research under my supervision Certified further, that to the best of my knowledge the work reported herein does not form part of any other project report or dissertation on the basis of which a degree or award was conferred on an earlier occasion on this or any other candidate. Signature of the Guide Signature of the H.O.D Name Name
  3. 3. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com DECLARATION I hereby declare that the project work entitled “A Low-Cost Hardware Architecture for Illumination Adjustment in Real-Time Applications” Submitted to BHARATHIDASAN UNIVERSITY in partial fulfillment of the requirement for the award of the Degree of MASTER OF APPLIED ELECTRONICS is a record of original work done by me the guidance of Prof.A.Vinayagam M.Sc., M.Phil., M.E., to the best of my knowledge, the work reported here is not a part of any other thesis or work on the basis of which a degree or award was conferred on an earlier occasion to me or any other candidate. (Student Name) (Reg.No) Place: Date:
  4. 4. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com ACKNOWLEDGEMENT I am extremely glad to present my project “A Low-Cost Hardware Architecture for Illumination Adjustment in Real-Time Applications” which is a part of my curriculum of third semester Master of Science in Computer science. I take this opportunity to express my sincere gratitude to those who helped me in bringing out this project work. I would like to express my Director,Dr. K. ANANDAN, M.A.(Eco.), M.Ed., M.Phil.,(Edn.), PGDCA., CGT., M.A.(Psy.)of who had given me an opportunity to undertake this project. I am highly indebted to Co-OrdinatorProf. Muniappan Department of Physics and thank from my deep heart for her valuable comments I received through my project. I wish to express my deep sense of gratitude to my guide Prof. A.Vinayagam M.Sc., M.Phil., M.E., for her immense help and encouragement for successful completion of this project. I also express my sincere thanks to the all the staff members of Computer science for their kind advice. And last, but not the least, I express my deep gratitude to my parents and friends for their encouragement and support throughout the project.
  5. 5. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com ABSTRACT: For real-time surveillance and safety applications in intelligent transportation systems, high- speed processing for image enhancement is necessary and must be considered. In this paper, we propose a fast and efficient illumination adjustment algorithm that is suitable for low-cost very large scale integration implementation. Experimental results show that the proposed method requires the least number of operations and achieves comparable visual quality as compared with previous techniques. To further meet the requirement of real-time image/video applications, the 16-stage pipelined hardware architecture of our method is implemented as an intellectual property core. Our design yields a processing rate of about 200 MHz by using TSMC 0.13-μm technology. Since it can process one pixel per clock cycle, for an image with a resolution of QSXGA (2560 × 2048), it requires about 27 ms to process one frame that is suitable for real-time applications. In some low-cost intelligent imaging systems, the processing rate can be slowed down, and our hardware core can run at very low power consumption.
  6. 6. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com INTRODUCTION: Nowadays, there is an increasing demand for cameras and intelligent surveillance systems iming at monitoring private and public areas. For example, the camera-based advanced driver ssistance system can inform drivers of the appropriate speed or help keep the vehicle between lane markers to improve vehicle/road safety. In intelligent transportation systems (ITSs), the cameras keep track of the road and driving situations to detect the traffic flow or to record information related to vehicle crashes or accidents automatically. However,insufficient visibility due to the influence of weather or poor atmospheric light will cause the intelligent system to be inoperative. Many image preprocessing algorithms are integrated Manuscript received July 1, 2013; revised November 8, 2013, March 15, 2014, and July 16, 2014; accepted July 28, 2014. Date of publication September 16, 2014; date of current version March 27, 2015. This work was supported in part by the National Science Council of Taiwan under Grant NSC-101-2221-E- 006-151-MY3, by the Ministry of Economic Affairs (MOEA) of Taiwan under Grant MOEA 102-EC-17-A-05-S1-192, and by the Headquarters of University Advancement at National Cheng Kung University, which is sponsored by the Ministry of Education, Taiwan. The Associate Editor for this paper was P. Grisleri. Y.-H. Shiau is with the Department of Electrical Engineering, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan P.-Y. Chen, H.-Y. Yang, and S.-Y. Li are with the Digital IC Design Laboratory, Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan 70101, Taiwan Color versions of one or more of the figures in this paper are available online Digital Object Identifier 10.1109/TITS.2014.2347701 to increase the visibility of the system, such as denoising,scaling, and illumination adjustment. In such a real-time intelligent system, high-speed processing for those enhancement algorithms is necessary and must be considered. A hardware implementation for the algorithms [1]–[4] is a better solution, which can be included in end-user camera equipment to meet the requirement. In this paper, we focus on the development of a fast and efficient illumination adjustment algorithm that is suitable for low-
  7. 7. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com cost high-speed hardware implementation. Dynamic range is the illumination ratio between the darkest and the brightest region in a scene. A captured image in surveillances shows an irrevocable loss of visual information in some places under strong background illumination or in dark environments. This is mainly because the dynamic range of natural scene is far larger than the dynamic range of image captured by the common digital devices. Such overflow will cause a blurred image particularly in the low-luminance regions, and the viewer cannot obtain enough information of the image. To overcome this annoying problem, the existing enhancement methods ,for a single image are proposed and can be classified into two categories: spatial-domain processing and compression- domain processing .The spatial-domain processing can further be divided into two subgroups: the histogram-based techniques and the Retinex-based techniques To consider the hardware implementation to meet the real-time requirement, the above image enhancement algorithms suffered from some problems. The histogrambased techniques are effective contrast enhancement algorithms due to their straightforward and intuitive implementation qualities. However, the histogram-based techniques need to scan the whole image twice to complete the enhancement process, i.e., one for calculating the probability density function and one for obtaining the enhanced image by using the mapping function. They need to store the whole image inside the hardware core that requires a great amount of hardware resource. Longer processing time is needed since it requires reading the whole image data twice from the memory module. The Retinex-based techniques and compression-domain processing techniques usually keep the details of the original image and generate high-quality enhanced images with low noise. However, the algorithms with high time complexity are those that will make the hardware cost high and increase the processing time. In this paper, we propose a low-complexity illumination adjustment algorithm based on the Retinex theory. The fast illumination estimation by using the concept of bidimensional empirical mode decomposition (FIEEMD) is presented. Then, a modified gamma correction is employed to adjust the illumination component to obtain a more pleasing image. The experimental results demonstrate that our method achieves far shorter execution time and comparable visual quality
  8. 8. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com as compared with other enhancement methods ,Moreover, we also present a 16-stage pipelined hardware architecture implemented as an intellectual property (IP) core that can be integrated with other circuits in the system-on-chip (SoC). By using hardware sharing and parallel processing techniques, the proposed IP core can efficiently operate to meet the requirement of real-time applications with lower cost. In some low-cost imaging systems, the processing rate can be slowed down, and our hardware core can run at very low power consumption. The rest of this paper is organized as follows. In Section II, the background information and the main idea are briefly introduced. Then, the proposed illumination adjustment method is presented in Section III. Section IV describes the hardware architecture of the proposed method in detail. Section V illustrates the simulation results and hardware implementation. Finally, the conclusions are provided in Section VI.
  9. 9. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com CONCLUSION: In ITSs, the cameras keep track of the road and driving situations to detect the traffic flow or to record information related to vehicle crashes or accidents automatically. Insufficient visibility due to the influence of weather or poor atmospheric light will cause the intelligent system to be inoperative. Thus, many image preprocessing algorithms are integrated into ITSs for enhancing the visibility of the system, such as denoising, contrast enhancement, and illumination adjustment. The enhanced image will increase the successful rate of the following processing steps of the ITS, such as car license plate detection and recognition, human detection and tracking, and vehicle crash or accident detection. Since the ITS is a real-time system, its high- speed processing for enhancement algorithms is necessary and must be considered. Many methods are proposed to reach higher visual image quality without considering the computational complexity. However, when it comes to implementing those algorithms on hardware core employed in the end-user camera equipment, the computational complexity becomes an important issue, particularly for real-time applications. In this paper, a low-complexity pipelined hardware architecture for a fast illumination adjustment method has been proposed. The experimental results demonstrate that our design requires the least computation load and achieves comparable performance in objective metrics and subjective image quality as compared with other image enhancement methods. To our knowledge, there are few literatures on the hardware design for illumination adjustment. Our low-cost circuit is a good solution for low-cost VLSI implementation for illumination adjustment, which can be integrated with other hardware modules in the SOC system for real- time transportation applications.The design meets the requirement of real-time image/video applications and is suitable to be employed in end-user camera equipment. In the future, the illumination adjustment method may be integrated with a haze detection and a haze removal method. Such integration will increase the recognition rate of the following object recognition of the ITS in bad weather conditions.
  10. 10. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com REFERENCES: [1] S. Marsi and G. Ramponi, “A flexible FPGA implementation for illuminance–reflectance video enhancement,” J. Real-Time Image Process., vol. 8, no. 1, pp. 81–93, Mar. 2011. [2] Y.-H. Shiau, H.-Y. Yang, P.-Y. Chen, and Y.-Z. Chuang, “Hardware implementation of a fast and efficient haze removal method,” IEEE Trans. Circuits Syst. Video Technol., vol. 23, no. 8, pp. 1369–1374, Aug. 2013. [3] R. Kimmel, M. Elad, D. Shaked, R. Keshet, and I. Sobel, “A variational framework for retinex,” Int. J. Comput. Vis., vol. 52, no. 1, pp. 7–23, Apr. 2003. [4] C.-T. Shen and W.-L. Hwang, “Color image enhancement using retinex with robust envelope,” in Proc. 16th IEEE Int. Conf. Image Process.,2009, pp. 3141–3144. [5] T. Arici, S. Dikbas, and Y. Altunbasak, “A histogram modification framework and its application for image contrast enhancement,” IEEE Trans.Image Process., vol. 18, no. 9, pp. 1921–1935, Sep. 2009. [6] S. C. Huang, F. C. Cheng, and Y. S. Chiu, “Efficient contrast enhancement using adaptive gamma correction with weighting distribution,” IEEE Trans. Image Process., vol. 9, no. 1, pp. 1032–1041, Mar. 2013. [7] T. Celik and T. Tjahjadi, “Automatic image equalization and contrast enhancement using Gaussian mixture modeling,” IEEE Trans. Image Process., vol. 21, no. 1, pp. 145–156, Jan. 2012. [8] F. C. Cheng and S. C. Huang, “Efficient histogram modification using bilateral Bézier curve for the contrast enhancement,” J. Display Technol.,vol. 9, no. 1, pp. 44–50, Jan. 2013.

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