1
Assignment - 2 - Image Processing Obtain the transform matrix for each of the following transform (N=2,4) i. Hadamard transform ii. Haar transform Define 2-D forward and inverse DCT and mention its properties. Compute DCT matrix for N=4 . Explain the concept of Histogram Equalization. Develop a method and corresponding implementation with suitable example. Perform histogram equalization for the following image data, sketch the histogram of the original image and histogram of equalized image. Gray Level 0 1 2 3 4 5 6 7 No. of Pixel 790 1023 850 656 329 245 122 81 What is the importance of image enhancement in image processing? Explain in brief any two point processing techniques implemented in image processing. Explain the concept of Histogram Matching (specification). Develop a method and corresponding implementation with suitable example. Explain with block diagram, the basic steps for image filtering in frequency domain. Explain the following gray level transformation i. Power law transformation ii. Piecewise linear contrast stretching. Explain Image Enhancement using Arithmetic and Logic operations. Explain different types of gray level slicing. Explain different gray level transformations.

# IP Assignement

Embed Size (px)

DESCRIPTION

questions for image processing

Citation preview

Assignment - 2 - Image Processing

Obtain the transform matrix for each of the following transform (N=2,4)

i. Hadamard transform ii. Haar transform

Define 2-D forward and inverse DCT and mention its properties. Compute DCT matrix

for N=4 .

Explain the concept of Histogram Equalization. Develop a method and corresponding

implementation with suitable example.

Perform histogram equalization for the following image data, sketch the histogram of

the original image and histogram of equalized image.

Gray Level 0 1 2 3 4 5 6 7

No. of Pixel 790 1023 850 656 329 245 122 81

What is the importance of image enhancement in image processing? Explain in brief any two

point processing techniques implemented in image processing.

Explain the concept of Histogram Matching (specification). Develop a method and

corresponding implementation with suitable example.

Explain with block diagram, the basic steps for image filtering in frequency domain.

Explain the following gray level transformation

i. Power law transformation

ii. Piecewise linear contrast stretching.

Explain Image Enhancement using Arithmetic and Logic operations.

Explain different types of gray level slicing.

Explain different gray level transformations.