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Project Proposals

Project I Faculty - Aparna

Title: Predicting stages in Retinopathy of prematurity.

Field of Work: Medical Image Processing.

Abstract :

Retinopathy of prematurity (ROP) is a disease that affects the eyes of many babies born

prematurely and with low birth weight. If retinopathy is not detected in the days following

birth, blindness may occur. Studies have demonstrated that by observing the blood vesselswithin the retina, the disease can be quantified at an early stage, and early treatment can save

the baby's eyes. Automating this task can be performed by image processing means to

measure curvature by changes in intensity and by template matching. The project involvescapturing the image of the retina to extract and quantify both tortuosity and dilation of blood

vessels and predicting the stage to which it can progress.

Partitioning:

Sl

No

Work to be done : Duration

1 Literature survey 1 month

2 Simulation of Algorithms on C/C++ platforms. First Semester

3 Implementation and comparison of results Second Semester

References:

1. Sinthanayothin, C.; Panitsuk, P.; Uyyanonvara, B.; , "Automatic retinal vesseltortuosity measurement," Electrical Engineering/Electronics ComputerTelecommunications and Information Technology (ECTI-CON), 2010 InternationalConference on , vol., no., pp.505-507, 19-21 May 2010

2. Prabakar, S.; Porkumaran, K.; Guna, S.J.; , "An image based approach to detectRetinopathy of prematurity," Computational Technologies in Electrical andElectronics Engineering (SIBIRCON), 2010 IEEE Region 8 International Conference

on , vol., no., pp.116-121, 11-15 July 2010

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Project -II Faculty - Aparna

Title : Compression of Hyperspectral images using distributed source coding.

Field of Work: Signal Processing and Image Compression.

Abstract :

Distributed source coding (DSC) is a method to code independently, two statistically

dependent sources [1, 2]. But the decoder jointly decodes the data exploiting the correlation

between two sources. Such a system can still achieve the performance of encoder that jointlycompresses the two sources; As a result we can have a lower encoder-complexity at the cost

of complex decoders. In this work we propose to apply the concept of DSC to remote sensing

image compression. Objective of this work is to devise a compression algorithm based onDSC principles for hyper spectral images to reduce the complexity of the onboard encoder.

Partitioning:

Sl

No

Work to be done : Duration

1 Literature survey 1 month

2 Simulation of Algorithms on C/C++ platforms. First Semester

3 Implementation on hardware platform.

(will be decided later)

Second Semester

References:

1.D. Slepian and J. K. Wolf, Noiseless coding of correlated information sources, IEEETransactions on Information Theory, vol. 19, no. 4, pp. 471480, 1973.

2.A.D. Wyner and J. Ziv, The rate-distortion function for source coding with sideinformation at the decoder,IEEE Transactions on Information Theory, vol. 22, no. 1, pp.

110, 1976.

3.Enrico Magli, Mauro Barni, Andrea Abrardo,Marco Grangetto, Distributed Source codingTechniques for Lossless Compression of Hyperspectral Images, EURASIP Journal onAdvances in Signal Processing ,Volume 2007

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Project -III Faculty - Aparna

Field of Work: Embedded Systems.

Hardware: ARM 9/ARM 7

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Project Proposal Rekha

"A 0.5 V Continuous time sigma-delta modulator". For other two projects you can just

specify the field as Analog/Digital VLSI.