adplus-dvertising
frame-decoration

Question

In an ideal lowpass filter case, what is the relation between the filter radius and the blurring effect caused because of the filter?

a.

Filter size is directly proportional to blurring caused because of filter

b.

Filter size is inversely proportional to blurring caused because of filter

c.

There is no relation between filter size and blurring caused because of it

d.

None of the mentioned

Answer: (b).Filter size is inversely proportional to blurring caused because of filter

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. In an ideal lowpass filter case, what is the relation between the filter radius and the blurring effect caused because of the filter?

Similar Questions

Discover Related MCQs

Q. The characteristics of the lowpass filter h(x, y) is/are_________

Q. What is the relation for the components of ideal lowpass filter and the image enhancement?

Q. Using the feature of reciprocal relationship of filter in spatial domain and corresponding filter in frequency domain along with convolution, which of the following fact is true?

Q. State the statement true or false: “BLPF has sharp discontinuity and ILPF doesn’t, and so ILPF establishes a clear cutoff b/w passed and filtered frequencies”.

Q. A Butterworth filter of what order has no ringing?

Q. In frequency domain terminology, which of the following is defined as “obtaining a highpass filtered image by subtracting from the given image a lowpass filtered version of itself”?

Q. Which of the following is/ are a generalized form of unsharp masking?

Q. High boost filtered image is expressed as: fhb = A f(x, y) – flp(x, y), where f(x, y) the input image, A is a constant and flp(x, y) is the lowpass filtered version of f(x, y). Which of the following fact validates if A=1?

Q. High boost filtered image is expressed as: fhb = A f(x, y) – flp(x, y), where f(x, y) the input image, A is a constant and flp(x, y) is the lowpass filtered version of f(x, y). Which of the following fact(s) validates if A increases past 1?

Q. Unsharp masking can be implemented directly in frequency domain by using a filter: Hhp(u, v) = 1 – Hlp(u, v), where Hlp(u, v) the transfer function of a lowpass filter. What kind of filter is Hhp(u, v)?

Q. The frequency domain Laplacian is closer to which of the following mask?

Q. To accentuate the contribution to enhancement made by high-frequency components, which of the following method(s) should be more appropriate to apply?

Q. A process that accentuate the contribution to enhancement made by high-frequency components, by multiplying the highpass filter by a constant and adding an offset to the highpass filter to prevent eliminating zero frequency term by filter is known as _______

Q. The transfer function of High frequency emphasis is given as: Hhfe(u, v) = a + b Hhp(u, v), for Hhp(u, v) being the highpass filtered version of image,a≥0 and b>a. for certain values of a and b it reduces to High-boost filtering. Which of the following is the required value?

Q. The transfer function of High frequency emphasis is given as: Hhfe(u, v) = a + b Hhp(u, v), for Hhp(u, v) being the highpass filtered version of image,a≥0 and b>a. What happens when b increases past 1?

Q. The transfer function of High frequency emphasis is given as: Hhfe(u, v) = a + b Hhp(u, v), for Hhp(u, v) being the highpass filtered version of image,a≥0 and b>a. When b increases past 1 the filtering process is specifically termed as__________

Q. Validate the statement “Because of High frequency emphasis the gray-level tonality due to low frequency components is not lost”.

Q. Which of the following fact is true for a image?

Q. If an image is expressed as the multiplication of illumination and reflectance component i.e. f(x, y)= i(x, y) * r(x, y), then Validate the statement “We can directly use the equation f(x, y)= i(x, y) * r(x, y) to operate separately on the frequency component of illumination and reflectance” .

Q. In Homomorphic filtering which of the following operations is used to convert input image to discrete Fourier transformed function?