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A high contrast image and a dark image will have what kind of histogram respectively, when the histogram, h(rk) = nk, rk the kth gray level and nk total pixels with gray level rk, is plotted nk versus rk? The histogram that are concentrated on the dark side of gray scale. The histogram whose component are biased toward high side of gray scale. The histogram that is narrow and centered toward the middle of gray scale. The histogram that covers wide range of gray scale and the distribution of pixel is approximately uniform.
While Zooming, In order to perform gray-level assignment for any point in the overlay, we assign its gray level to the new pixel in the grid its closest pixel in the original image. What’s this method of gray-level assignment called?
Which of the following option is correct for the given statements about gray scale and binary imaging? Statement 1: All binary images are gray scale images. Statement 2: In gray scale imaging, every pixel is represented by 8 bits.
A frame buffer array is addressed in row-major order for a monitor with pixel locations starting from (0, 0) and ending with (100, 100). What is address of the pixel (6, 10) ? Assume one bit storage per pixel and starting pixel location is at 0.
Two images having one pixel gray value 01010100 and 00000101 at the same location, are operated against AND operator. What would be the resultant pixel gray value at that location in the enhanced image?
The digitization process i.e. the digital image has M rows and N columns, requires decisions about values for M, N, and for the number, L, of max gray levels is an integer power of 2 i.e. L = 2k, allowed for each pixel. If we assume that the discrete levels are equally spaced and that they are integers then they are in the interval __________ and Sometimes the range of values spanned by the gray scale is called the ________ of an image. and static range respectively b) and dynamic range respectively c) and static range respectively d) and dynamic range respectively
A contrast stretching result been obtained by setting (r1, s1) = (rmin, 0) and (r2, s2) = (rmax, L – 1), where, r and s are gray-values of image before and after processing respectively, L is the max gray value allowed and rmax and rmin are maximum and minimum gray-values in image respectively. What should we term the transformation function if r1 = r2 = m, some mean gray-value.
Is it true or false that “the original pixel value is included while computing the median using gray-levels in the neighborhood of the original pixel in median filter case”?
After digitization process a digital image with M rows and N columns have to be positive and for the number, L, max gray levels i.e. an integer power of 2 for each pixel. Then, the number b, of bits required to store a digitized image is:
An image whose gray-levels span a significant portion of gray scale have __________ dynamic range while an image with dull, washed out gray look have __________ dynamic range.