Joumana
Trusted teacher
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Trusted teacher
from46.82USD/ h

Online Image Processing course by an experienced professor

I am a Doctor of Engineering, graduate of Paris VI and the University of Grenoble. I am a University Professor since 2002. I teach my courses in English and French.
In my Image Processing course, I mainly cover the following subjects (non-exhaustive list):
Image transformations,
Histogram equalization and specification,
Image enhancement,
Spatial filtering.
Discrete Fourier Transform (DFT) of an image, Frequency-domain filtering, Correlation.
Noise and distortion.
Image restoration methods.
Mathematical morphology: techniques and algorithms.
Color representation, Color image processing.
Image segmentation techniques.
Image classification techniques.

I can help you pass your exams and projects.

My teaching methodology:
I explain the concepts in an interactive way, including practical examples and answering the student's questions. I guide the student in the assimilation and synthesis of the different techniques in telecommunications engineering. Signal processing techniques will no longer have any secrets for you!

Location

Online via webcam

General info

Skills:
Age:
Adults (18-64 years old)
Seniors (65+ years old)
Student level:
Beginner
Intermediate
Advanced
Duration:
60 minutes
90 minutes
120 minutes
The class is taught in:French, English

About Me

Translated using Google Translate. Click to view original.
I am an engineer and professor, graduated from the University of Paris VI and the University of Grenoble. I love math and everything related to telecommunications. I can teach my classes in French or in English. I can help you overcome your weaknesses and pass your exams.

Education

Translated using Google Translate. Click to view original.
2010: Habilitation to Direct Research (HDR) from the Pierre and Marie Curie University (Paris VI) Specialty: Engineering Sciences.

2002: Doctorate from the National Polytechnic Institute of Grenoble.

1999: Master's degree in Signal, Image, Speech from the National Polytechnic Institute of Grenoble. Mention: Very Good (promotion major).

1998: Engineering degree in Electricity-Electronics from the Faculty of Engineering of the Lebanese University. Mention: Excellent (promotion major)

Experience / Qualifications

Translated using Google Translate. Click to view original.
University teacher-researcher since 2002, I hold an engineering degree, a Masters and a Doctorate in the field of telecommunications.

Reviews (2)

The tuition I received allowed me to fill the gaps in my understanding of image processing for space applications. Joumana explained the concepts / applications through theory and mathematical examples. I can highly recommend the lessons for any student who wishes to improve their knowledge.
Très bonnes explications!
I am a Doctor of Engineering, graduate of Paris VI and the University of Grenoble. I am a University Professor since 2002. I teach my courses in English and French. In my Signal Processing course, I mainly cover the following subjects (non-exhaustive list): Signal Transformations. Singular functions. Properties of continuous and discrete systems. Linear Time Invariant Systems. Convolution. Correlation. Fourier series. Fourier Transform. Energy and power spectral densities. Random Signals. Hilbert Transform. Z-transform. Discrete-Time Fourier Transform (DTFT). Discrete Fourier Transform (DFT). Fast Fourier Transform (FFT). Design of Digital Filters. Applications. I can help you pass your exams and projects. My teaching methodology: I explain the concepts in an interactive way, including practical examples and answering the student's questions. I guide the student in the assimilation and synthesis of the different techniques in telecommunications engineering. Signal processing techniques will no longer have any secrets for you!
I am a Doctor-Engineer, Professor, graduated from Paris VI and the University of Grenoble. University teacher-researcher since 2002, I teach the following subjects: Signal and image processing, Digital communications, Mobile networks, Video / audio compression, Information theory, Coding, Sensors. I teach my classes in French or English. I have worked for a long time and still work on the development of mobile communications systems (from 3G to 5G). In addition to my teaching, I supervised a large number of engineering degree and master's degree projects, as well as doctoral theses. I have to my credit 9 invention patents and more than a hundred articles in signal processing and mobile networks. I can help you succeed with your exams and projects. My teaching methodology: I explain the concepts interactively, including practical examples and answering the student's questions. I guide him in the assimilation and synthesis of the different techniques in telecommunications engineering. Signal processing, communications systems, mobile networks (4G, 5G) and Computer Vision will hold no secrets for you!
I am a Doctor of Engineering, a graduate of Paris VI and the University of Grenoble. I am a University Professor since 2002. I teach my courses in English and French. In this course, I mainly cover the following subjects (non-exhaustive list): Compression of images and video sequences: Lossy and lossless compression techniques. Variable Length Coding (VLC) techniques. Arithmetic coding. Lempel-Ziv coding. Rate-Distortion theory. Transform coding (Walsh-Hadamard, Karhunen-Loeve, Haar, Discrete Cosine Transform. Main compression standards. Wavelet coding. JPEG standard, JPEG2000. Video encoder/decoder. Motion estimation techniques. H263 and H263+ encoders. H264, H265, MPEG4 and MPEG7 standards. Coding of audio signals: redundancies in audio signals. Vector quantization. Differential coding. ADPCM. LPC and CELP encoders. Subband coding, MP3 encoder. I can help you pass your exams and projects. My teaching methodology: I explain the concepts in an interactive way, including practical examples and answering the student's questions. I guide the student in the assimilation and synthesis of the different techniques in telecommunications engineering. Signal processing techniques will no longer have any secrets for you!
I am a Doctor of Engineering, a graduate of Paris VI and the University of Grenoble. I am a University Professor since 2002. I teach my courses in English and French. In my Digital Communications course, I mainly cover the following subjects (non-exhaustive list): Digitization of signals: sampling – quantification – coding. Pulse modulations (PAM, PWM, PPM, etc.). Pulse Code Modulation (PCM) - Quantization noise Uniform and non-uniform quantization - Companding laws. Line coding techniques – Spectral density calculations Differential modulations (Delta Modulation – Delta-Sigma Modulation – DPCM – ADPCM) Multiple Access Techniques: TDMA, FDMA, CDMA Matched filtering - Error probability – Inter-symbol Interference Nyquist's Criterion - Raised cosine filter – Eye Pattern Digital modulations: BPSK, QPSK, MPSK, MQAM, FSK, GMSK, etc. Error probability of digital modulations Spread-spectrum techniques. In my Mobile Communications course, I mainly cover the following subjects (non-exhaustive list): Cellular Networks. Frequency reuse. Multiple access techniques. Transmission channel impairments: additive noise, path loss, shadowing, multipath, Doppler shift, etc. Diversity techniques. GSM system: architecture. Interferences. System capacity. Trunking and Grade of Service. Cell Splitting. Sectoring. Distributed Antenna Systems. Frequency hopping. MIMO. 3G systems: Spread-Spectrum techniques. Spreading and scrambling codes. The architecture of the UMTS system. Synchronization. Handover procedures. Channel estimation. 4G (LTE-Advanced) systems: Orthogonal Frequency Division Multiplexing (OFDM). Cyclic prefix. Transceiver design. Phase noise and PAPR (peak to average power ratio) problems. SC-FDMA (Single Carrier Frequency Division Multiple Access) for uplink. Resource allocation techniques in 4G and 5G systems. I can help you pass your exams and projects. My teaching methodology: I explain the concepts in an interactive way, including practical examples and answering the student's questions. I guide the student in the assimilation and synthesis of the different techniques in telecommunications engineering. Signal processing techniques will no longer have any secrets for you!

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7              
8  Monday at 8:00  Tuesday at 8:00  Wednesday at 8:00  Thursday at 8:00  Friday at 8:00  Saturday at 8:00  Sunday at 8:00
9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  Sunday at 9:00
10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
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12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
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16  Monday at 16:00  Tuesday at 16:00  Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
17  Monday at 17:00  Tuesday at 17:00  Wednesday at 17:00  Thursday at 17:00  Friday at 17:00  Saturday at 17:00  Sunday at 17:00
18  Monday at 18:00  Tuesday at 18:00  Wednesday at 18:00  Thursday at 18:00  Friday at 18:00  Saturday at 18:00  Sunday at 18:00
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from $46.82Online via webcam

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

Online reputation

  • Instructor since January 2021
  • 2 repeat students
  • Phone number verified
  • Google connected

Availability of a typical week

MonTueWedThuFriSatSun
7              
8  Monday at 8:00  Tuesday at 8:00  Wednesday at 8:00  Thursday at 8:00  Friday at 8:00  Saturday at 8:00  Sunday at 8:00
9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  Sunday at 9:00
10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
16  Monday at 16:00  Tuesday at 16:00  Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
17  Monday at 17:00  Tuesday at 17:00  Wednesday at 17:00  Thursday at 17:00  Friday at 17:00  Saturday at 17:00  Sunday at 17:00
18  Monday at 18:00  Tuesday at 18:00  Wednesday at 18:00  Thursday at 18:00  Friday at 18:00  Saturday at 18:00  Sunday at 18:00
19  Monday at 19:00  Tuesday at 19:00  Wednesday at 19:00  Thursday at 19:00  Friday at 19:00  Saturday at 19:00  Sunday at 19:00
20              
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from $46.82Online via webcam

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

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