Which of the following helps to obtain the number of bits to be used to quantize each pixel.

Which of the following helps to obtain the number of bits to be used

1.	Which of the following helps to obtain the number of bits to be used to quantize each pixel.
A.	Gray-level slicing
B.	Contrast stretching
C.	Contouring
D.	Bit-plane slicing
Answer» E.

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Which of the following helps to obtain the number of bits to be used to quantize each pixel.
In bit-plane slicing if an image is represented by 8 bits and is composed of eight 1-bit plane, with plane 0 showing least significant bit and plane 7 showing most significant bit. Then, which plane(s) contain the majority of visually significant data.
Specific bit contribution in the image highlighting is the basic idea of __________
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.
When is the contrast stretching transformation a thresholding function, for r and s as gray-value of image before and after processing respectively?
IN_BIT-PLANE_SLICING_IF_AN_IMAGE_IS_REPRESENTED_BY_8_BITS_AND_IS_COMPOSED_OF_EIGHT_1-BIT_PLANE,_WITH_PLANE_0_SHOWING_LEAST_SIGNIFICANT_BIT_AND_PLANE_7_SHOWING_MOST_SIGNIFICANT_BIT._THEN,_WHICH_PLANE(S)_CONTAIN_THE_MAJORITY_OF_VISUALLY_SIGNIFICANT_DATA.?$
Which of the following helps to obtain the number of bits to be used to quantize each pixel.$
Specific bit contribution in the image highlighting is the basic idea of _________?
Which of the following transform produces a binary image after processing?
What is/are the approach(s) of the gray-level slicing?

Which of the following helps to obtain the number of bits to be used to quantize each pixel.

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