The Signal and Image Processing Lab - Signal and Image Processing Lab.

SIPL students win ECCV 2022 best demo award

SIPL students won ECCV 2022 best demo award ‘for demonstrating interesting applications that can enhance... Read More

SIPL students present a demo at ECCV 2022

SIPL Annual Event 2022

You can find all the details about the event and register here:... Read More

SIPL students present their work at ICC 2022

SIPL undergraduate students wrote a paper describing their solution for the IEEE Signal Processing Cup... Read More

SIPL students present their paper at WAVC 2022

SIPL undergraduate students wrote a paper describing their project and presented it at WAVC 2002.... Read More

SIPL students present their papers at COMCAS 2021

Three papers written by undergraduate students and their supervisor were accepted to the conference and... Read More

SIPL students present their projects at COMCAS 2021

The Signal and Image processing Lab (SIPL) was established in 1975 in the Department of Electrical Engineering of the Technion. It has been active since in research and teaching in a wide range of signal processing topics. Particularly, in the development and implementation of algorithms for processing speech, audio, image, video, physiological signals, point clouds, and more, widely using machine learning, and particularly deep learning. Many dozens of graduate students have since completed their research in the lab. In addition, over 100 undergraduate senior year students perform experiments and projects in the lab each year – many of them in collaboration with industry. SIPL has been involved through the years in many aspects and applications of signal processing and has provided its graduates an opportunity to gain experience in the field – through projects and research. In addition to its educational role, the research and projects carried out in the lab have directly contributed to the flourishing hi-tech industry in Israel. The activity of the lab was often driven by the needs of the science-based industry and we believe that it had an impact beyond the local scene. Certainly, the research and projects carried out in the lab kept it in the forefront of the activity in the field.

Eye Tracking for Controlling a Reading Software

For many years, the study of learning disabilities belonged to the educational sciences and dealt mainly with their behavioral and educational aspects but did not provide knowledge of the origin …
Depth Estimating of Infiltrating Cancer Cells on a Gel Surface

Spreading of cancer cells to distant organs is the main cause of all cancer-related mortalities, while early and accurate prediction of tumor cell fate can significantly impact treatment …
Morphology Recognition for Gel Cells Using DIC Images

A new method to predict the development of metastases of cancer cells and accelerate treatment for patients was developed in Prof. Daphne Weihs' lab. The method works by placing cancer cells …
Analysis of Waves and Human Interaction Using Beach Webcams

This work presents a novel approach for monitoring 'beach scenes', utilizing existing beach webcams and computer vision algorithms based on deep neural networks to analyze the behavior of water …
Synthetic Speech Attribution

This report describes Team SIPL’s solution to the 2022 Signal Processing Cup challenge. We developed a method that, given an audio recording of a synthetically generated speech
track, can …
Denoising for Event Cameras

In this work we explore the different noise mechanisms in event cameras and discuss known methods for filtering several noise sources. We focus on the threshold mismatch effect in event cameras …
Blood Pressure Estimation with a Smartwatch

Photoplethysmography (PPG) is a low-cost, noninvasive, and effective method for measuring physiological parameters such as blood pressure. It is possible to obtain PPG signals from smart …
Smart Encoding For Musical Notes

The goal of the work is exploring & finding smart encoding of music notes, that captures meaningful harmonic relationships in music. The assumption that music is similar to language in the …

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