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Digital Image Processing
OVERVIEW
CEA CAPA Partner Institution: University of Alicante
Location: Alicante, Spain
Primary Subject Area: Physics
Other Subject Area: Engineering
Instruction in: English
Transcript Source: Partner Institution
Course Details: Level 300
Recommended Semester Credits: 3
Contact Hours: 60
Prerequisites: Previous courses required:
- SEÑALES Y SISTEMAS
- TEORÍA DE LA COMUNICACION
- TRATAMIENTO DIGITAL DE SEÑAL
DESCRIPTION
Digital Image Processing is a constant evolving subject in its technological aspect, both in processing power and transmission, but also for the breakthrough digital processing techniques have experienced in areas such as filtering, compression and image analysis.
Current and future applications of Digital Image Processing are virtually endless. Digital television, video games, mobile phones, animated films are just some examples of the impact it currently has in the consumer society. In industrial and service applications, machine vision inspection and robotics are of great importance, as well as the great development in remote sensing and medical imaging.
From a historical perspective, digital image processing is a multidimensional generalization of the techniques of one-dimensional digital signal processing (DSP). The origins of DSP back to the nineteenth century, although its practical development does not appear until the sixties, when Cooley and Tukey proposed an efficient algorithm for the calculation of the Fourier transform: The FFT (Fast Fourier Transform). Then, with the advent of microprocessors, specific processors adapted for the calculation of FFT's were designed. These two factors have been very important in the spectacular advance of DSP, which has today penetrated all sectors of society and especially in the digital image processing.
Course will consist of 60hrs of in class work and 90 hrs of independent work outside the classroom.
Course includes computer practicals.
Current and future applications of Digital Image Processing are virtually endless. Digital television, video games, mobile phones, animated films are just some examples of the impact it currently has in the consumer society. In industrial and service applications, machine vision inspection and robotics are of great importance, as well as the great development in remote sensing and medical imaging.
From a historical perspective, digital image processing is a multidimensional generalization of the techniques of one-dimensional digital signal processing (DSP). The origins of DSP back to the nineteenth century, although its practical development does not appear until the sixties, when Cooley and Tukey proposed an efficient algorithm for the calculation of the Fourier transform: The FFT (Fast Fourier Transform). Then, with the advent of microprocessors, specific processors adapted for the calculation of FFT's were designed. These two factors have been very important in the spectacular advance of DSP, which has today penetrated all sectors of society and especially in the digital image processing.
Course will consist of 60hrs of in class work and 90 hrs of independent work outside the classroom.
Course includes computer practicals.
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