Image Enhancement - Nubacad.com

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Bit-Slicing Provides highlighting the contribution made to total image appearance by specific bits. Suppose that each pixel in an image is represented by 8 bits. Imagine that the image is composed of eight 1-bit planes, ranging from bit plane 0 for the least significant bit to bit plane 7 for the most significant bit. May 07, 2011 Dr. Al-Amin http://www.geocities.com/alamin_bhuiyan 10
Histogram • The histogram of an image records the frequency distribution of gray levels in that image. • The histogram of a digital image with gray levels in the rage [0, L-1] is the discrete function h(r k ) = n k where r k is the k-th gray level and n k is the number of pixels in the image having gray level r k . • Normalized histogram p r (r k ) = n k /n, for k = 0,1,…, L-1 • p(r k ) gives the estimates of the probability of occurrence of gray level r k . • A plot p(r k ) versus r k is called the Histogram • Several effects of histograms are shown at the right side. May 07, 2011 Dr. Al-Amin http://www.geocities.com/alamin_bhuiyan 11
Page 1 and 2: Image Enhancement Modify color or g
Page 3 and 4: Gray Level Transformation Function:
Page 5 and 6: Image Negatives • s = T(r) = L-1-
Page 7 and 8: Piece-wise Linear Gray-level Transf
Page 9: Gray-level Slicing Provides a binar
Page 13 and 14: Histogram Equalization Redistributi
Page 15 and 16: Histogram Equalization … May 07,
Page 17 and 18: Enhancing using Arithmetic/Logic Op
Page 19 and 20: Image Subtraction Subtraction of tw

Image Enhancement - Nubacad.com

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