Digital image processing as 2D signal processing; the effect of sampling a 2D signal (and higher dimensional signals); the 2D and higher dimensional discrete Fourier and other transforms, including wavelet transform; filtering in spatial and spatial frequency domains; image registration and its use in many image processing applications; 3D depth … For more content click the Read More button below.
Digital image processing as 2D signal processing; the effect of sampling a 2D signal (and higher dimensional signals); the 2D and higher dimensional discrete Fourier and other transforms, including wavelet transform; filtering in spatial and spatial frequency domains; image registration and its use in many image processing applications; 3D depth reconstruction using multiple views (stereo) and shape-from-shading; image warping and morphing; simple grey-level contrast enhancement and colour representation and display; imaging system response; concept of image degradation through convolution by point-spread function (PSF or impulse response); natural degradation due to defocus blur; motion blur and atmospheric turbulence; image restoration by deconvolution with position-invariant PSF; the importance and problem of signal noise; inverse filter and the Wiener filter; iterative image restoration; blind deconvolution; the need for additional information or constraints; speckle astronomy and phase restoration; the problem of position-dependent PSF; tomographic reconstruction; applications in medical imaging, security, law enforcement and astronomy.
