Image Enhancement & Noise Suppression for Students
20 questions
A. Ano
B. Ne
Explanation: The study materials state that a 'k < 1' value in a piece-wise linear function results in a 'decrease of dynamics' for the corresponding range, not an increase.
A. (Imax - Imin) / (Imax + Imin)
B. 1/MN * Sum(Iik - I_bar)^2
C. (Imax + Imin) / (Imax - Imin)
D. (Imax * Imin) / (Imax + Imin)
Explanation: The study materials define the Michelson contrast value as (Imax - Imin) / (Imax + Imin).
A. Ano
B. Ne
Explanation: Image sharpening in the frequency domain is interpreted as a relative increase in the ratio of low to high frequencies.
A. LoG is a single 2D high-pass filter specifically designed to enhance high-frequency noise.
B. It is composed of a Gaussian filter, which suppresses noise, followed by a Laplace filter, which enhances edges.
C. The primary goal of LoG is to achieve edge enhancement while simultaneously suppressing noise.
D. LoG is essentially another term for the Gradient of Gaussian (GoG) filter.
Explanation: The study materials state that the LoG filter is a 'series of 2D linear filters' that includes a 'Gaussian filter – low pass filter for noise suppression' and a 'Laplace filter – high pass filter for edge enhancement'. This combination leads to 'edge enhancement with noise suppression'. Therefore, options 1 and 2 are correct. Option 0 is incorrect because LoG uses a Gaussian filter for noise suppression, not enhancement, and is a series of filters, not a single one. Option 3 is incorrect as the materials describe GoG as 'another variant,' indicating it is distinct from LoG.
A. Ano
B. Ne
Explanation: Adaptive denoising explicitly uses 'edge preserving approaches' to suppress noise, meaning it aims to maintain the sharpness of edges, not blur them.