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Welcome to DiSPLaY Group Website.
Digital Signal Processing LabarotarY (DiSPLaY) is a group of graduate students led by Associate Prof. Farah Torkamani-Azar working within the Electrical Engineering Department of the Shahid Beheshti University (SBU), Tehran, Iran. The main focus of our research activities is Digital Signal Processing (DSP) and Digital Image Processing such as Compressive Sensing (CS), Image Compression, Dimension reduction in data base and applications. We also hold a weekly research meeting.

Machine Learning and Pattern Recognition

Machine learning is the science of getting computers to act without being explicitly programmed. Pattern recognition is the process of classifying input data into objects or classes based on key features. DiSPLaY group works on machine learning and pattern recognition techniques and applications.  

Body and Hand Gesture Recognition

Body and hand gesture recognition is a technique to understanding meaning of human activity and analysis their behavior that increasingly attracted attention in computer vision recently. In this topic our focus is on collecting gestures about Iranian Sign Language and old people behavior and then designing and developing corresponding algorithm and software.

Compressive Sensing

Compressive sensing is a signal processing technique for efficiently acquiring and reconstructing a signal, by finding solutions to underdetermined linear systems. In this topic, our focus is on designing structured dictionaries for practical implementation and also dealing with several applications for compressing, dimension reducing, classifying, spectral sensing and imaging.

Quality Assessment

Digital images and videos are subject to a wide variety of distortions during acquisition, processing, compression, storage, transmission and reproduction and experience degradation of visual quality. Hence quality assessment of digital image and video is one of the vital problems in the field of image and video processing. In this topic, we design the mathematical measurement methods and generalize them to assess quality for color image and video.

News

2018/02/19: Dr. Seyed Hamid Safavi received the best PhD thesis award from IEEE SBU Student Branch.

2018/02/12: Python programming workshop presented by Mohammadreza Riahi. [Poster]

2018/02/04: App Designer in MATLAB presented by Mrs. Maryam Rekabi.

2018/01/23: Mr. Rahman Zarnoosheh successfully defended his MSc. thesis "Hyperspectral image classification optimization using sparse representation".

2018/01/23: Mrs. Maryam Rekabi successfully defended her MSc. thesis "Diagnose Alzheimer's Disease Using MRI Brain Image Processing".

2018/01/20: Mr. Aliasghar Sharifi successfully defended his MSc. thesis.

2017/12/23: Linear, Nonlinear and Convex Optimization workshop presented by Dr. Seyed Hamid Safavi. [Poster First Session Slides , Second Session Slides ]

2017/11/23: DiSPLaY team achieved third prize at the ROCC grand challenge .

2017/11/23: Two papers presented at MVIP 2017.

2017/11/16: PRSM Dataset was released.

2017/10/21: Mr. Seyed Hamid Safavi successfully defended his Ph.D. thesis "Designing an Efcient Sensing Matrix for Compressive Video Sensing".

2017/10/08: Python programming workshop presented by Mohammadreza Riahi .

2017/08/27: Perceptual CS paper at Journal of Visual Communication and Image Representation: Cube-Based Perceptual Weighted Kronecker Compressive Sensing: Can we avoid non-visible redundancies acquisition?

2017/05/21: The Introduction to Sparsity and Compressive Sensing workshop presented by Dr. Mohammad Eslami and Mr. Seyed Hamid Safavi. [PosterSlides Theory, Slides Applications, MATLAB Codes]

2017/05/02: Two papers presented at ICEE 2017.