Question

Question No. 2: (10) [CLO-2] a) Compute the histogram and the pdf of given 3 bit image (shown in figure 2) b) Generate equalized image by using global histogram equalization processing. c) Draw the histogram of original image and processed image. d) What is the difference between histogram equalization and histogram matching. 2 3 3 5 7 5 4 3 1 6 1 5 2 4 7 2 3 6 4 1 6 5 3 2 4

Answer 1

1 - 2 3 4 ho) 3 3 5 7 5 h(5)=4 h = 3 h(7) = 2 - 2 5 3 4 7 4 2 h() = 3 h(2) = 4 h(3) = 5 h (4) = 4 1 6 5 3 2 4 Pdf of image 0 P(a) = 25 PGC) e 3 25 2 25 25 P(2) - 4 25 histogram of original image 4 P(3) 25 P 4 95 d 1 2 3 4 5 6 7 P(5) - 4 25 P 0 Sr 0 325 75 12/25 16/25 20/25 325 4/5 5725 4/25 4/25 3/25 2/25 3 4 5 4 7 mapped valio OA 0 -> 0 0.96 0.84 1 26.4 1.96 >> 2 3194 3.36 3 542 4.48 4 64 5.6 786 6.446 7 -> 7 2325 95/25

equalized image I! - 2 3 3 6 7 3 1 6 162 4 7 2 3 6 4 1 6 6 3 24 tistogram of equalized image 1 hoo h6=3 (2)=4 h (3) = 5 h (4) = 4 hG=0 h/6)=7 h (7)=2 3 2 4 5 matching : Difference blo histogran equalization and histogram histogram equalization produce output image that has a flattened histogram and generally we get higher contrast than the original image Histogram matching Based upon specific shape of derized hastigoram , input image is coniested to output image, is also known as histogram specification