Scribd
Upload
16 views25 pages

DIP M3 Sol

The document outlines various image processing techniques, including intensity transformations such as image negative, log transformation, power-law transformation, and piecewise linear transformation. It discusses concepts like contrast stretching, intensity slicing, and bit plane slicing, along with histogram processing and equalization methods for image enhancement. Additionally, it covers spatial filtering fundamentals, smoothing filters, order-statistics filters, and sharpening techniques using second-order derivative filters.

Uploaded by

Surendranath Koujageri
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
16 views25 pages

DIP M3 Sol

The document outlines various image processing techniques, including intensity transformations such as image negative, log transformation, power-law transformation, and piecewise linear transformation. It discusses concepts like contrast stretching, intensity slicing, and bit plane slicing, along with histogram processing and equalization methods for image enhancement. Additionally, it covers spatial filtering fundamentals, smoothing filters, order-statistics filters, and sharpening techniques using second-order derivative filters.

Uploaded by

Surendranath Koujageri
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
You are on page 1/ 25

DIP

MODULE 3
1.Explain the basic intensity transformations.
Includes Image Negative, Log Transformation, Power-Law Transformation and
Piecewise Linear Transformation (Answers of 2 and 3,4,5)
2.With necessary graphs explain the log and power law transformation
used for spatial image enhancement
3.Explain piecewise linear transformation functions
Includes Contrast Stretching, Intensity Slicing and Bit Plane Slicing
4.Explain the concepts of Bit plane slicing and intensity slicing
5.Briefly explain contrast stretching and bitplane slicing.
Intensity Level Slicing OR Gray Level Slicing
6.Propose a method for extracting the bit planes of an image based on
converting the value of its pixels to binary. Find all the bit planes of the
following 4-bit image:

7.Define histogram. Explain the concept of histogram processing.


8.Define histogram equalization. How image is enhanced using this method.
9.Discuss local histogram processing
10.Perform Histogram equalization of the image
11.Perform Histogram Equalization for the following 2 bit image
12.Explain the Fundamentals of Spatial Filtering
13.Explain the smoothing filters in spatial domain for image enhancement.
14.Elaborate order-statistics filters
15.Explain image sharpening in spatial domain using second order
derivative filters
16.Explain the working of Sharpening Spatial Filters and hence obtain
Laplacian filter coefficients
17.Explain the sharpening filters in spatial domain for image enhancement.

You might also like