And Solutions: Image Processing Exam Questions

is achieved using averaging (low-pass) filters . It reduces sharp transitions in gray levels, effectively removing random noise but also softening details.

Perform histogram equalization. Calculate the new pixel values after transformation. Image Processing Exam Questions And Solutions

cap P open paren cap B close paren equals cap P open paren cap A close paren center dot cap P open paren cap B vertical line cap A close paren plus cap P open paren cap A prime close paren center dot cap P open paren cap B vertical line cap A prime close paren is achieved using averaging (low-pass) filters

| r_k | freq | CDF | CDF_norm = CDF/8 | Equalized = round(15 × CDF_norm) | |-----|------|-----|------------------|----------------------------------| | 0 | 2 | 2 | 0.250 | 4 | | 1 | 0 | 2 | 0.250 | 4 | | 2 | 1 | 3 | 0.375 | 6 | | 3 | 0 | 3 | 0.375 | 6 | | 4 | 1 | 4 | 0.500 | 8 | | 5 | 0 | 4 | 0.500 | 8 | | 6 | 2 | 6 | 0.750 | 11 | | 7 | 0 | 6 | 0.750 | 11 | | 8-14| 0 | 6 | 0.750 | 11 | | 10 | 1 | 7 | 0.875 | 13 | | 14 | 1 | 8 | 1.000 | 15 | Calculate the new pixel values after transformation