עיבוד תמונה

A few words on Image and signal processing specialization

Signal processing is considered one of the fastest-growing fields in recent years. Specializing in it provides students with the comprehensive knowledge required to analyze, present, code, and decode a variety of signals from different sources – such as electric, biological, acoustic, and sensor-derived signals, but also audio, speech, and more. At the same time, image and video processing systems are fast becoming parts of daily life, and serve companies in a broad range of activities, such as computer vision and surgery, medicine, defense, entertainment, and visual communications.

Specializing in this track trains students to perform research and development in fields of signal processing, image and video processing, and computer vision.

Afeka’s unique signal processing specialization combines a theoretical background with practical experience on various platforms, equipping students with a critical scientific foundation and the engineering tools for working in signal processing R&D. Additionally, the specialization enables students to enhance their skills of image processing, video, multimedia, and computer vision by learning and experiencing various advanced technologies, tools, and algorithms.

The specialization includes courses that provide advanced knowledge in algorithms, along with practical courses that provide significant hands-on experience, helping department alumni to enter the job market after graduation. The hands-on work includes implementing the studied algorithms on today’s most advanced platforms, combining simulators, software tools, and processors from such leading companies as Analog Devices and Texas Instruments – or on Android and other OS based smartphones – thus providing experience in the industry’s most sought-after areas.

The specialization track’s selection of electives includes courses on theoretical and algorithmic knowledge for video and multimedia processing and analysis application; as well as practical courses, such as the advanced real-time image and video processing lab, where students learn to apply the algorithms.