Digital Image Processing Interview Questions And Answers | IMAGE PROCESSING INTERVIEW QUESTIONS & ANSWERS

A Digital Image Processing job is doable if you have a basic understanding of digital electronics fundamentals. Improved visualization techniques have been made possible in recent years by advances in image, video, and sound technology. Digital Image Processing has a wide range of career options, and each one has a unique set of difficulties and possibilities. As a user of Digital Image Processing, you may edit digital images on a computer using the Adobe Photoshop application. GOFASTRESEARCH has put up a list of Digital Image Processing interview questions and answers to help you brush up on your skills and prepare for the big day. To have a successful career, pay attention to these tips and follow them to the letter.


1. Image is a 2D representation of a 3D world.

2. Basic elements of the image processing system.

  • Image acquisition
  • Image storage
  • Image processing
  • Display
  • Transmission
3. The process of digitization involves two steps:
  • Sampling: Digitization of co-ordinate values.
  • Quantization: Digitization of amplitude values.
Digitization = Sampling + Quantization

4. Spatial resolution gives us an indication of the sampling while gray-level resolution gives us an indication of the quantization.

5. Low pass filtering: It removes high-frequency content from the image. It removes the noise present in the image. Also called smoothening. 

6. Principal source of noise in a digital image is image acquisition and image transmission.

7. Various types of image noise: Gaussian noise, Salt and pepper noise, Rayleigh noise, Gamma noise, Exponential noise, Uniform noise.

8. Low pass averaging filer: Used to eliminate gaussian noise. It removes noise by blurring it till it is no longer seen. But in this process, it also blurs the edges. The bigger the averaging mask, the more is the blurring.

9. Histogram is the graphical representation of the digital image. It represents the relative frequency of occurrence of various gray levels in an image.

10. One way to increase the dynamic range is by using a technique known as linear stretching. Also called histogram stretching.

11. Histogram Equalization: is the process of adjustment of image intensities to enhance the contrast. To enhance contrast, it spreads out the most frequent pixel intensity values or stretches out the intensity range of the image.

12. Histogram Specification/ Histogram Matching: is the transformation of an image so that its histogram matches a specified histogram.
Take an image and generate an output image that is based upon the shape of a specific (reference) histogram.

13. Linear filtering: is a method in which the value of the output pixel is a linear combination of the neighboring input pixels. It can be done with convolution.
Ex: mean filter, average filter, gaussian filter.

14. Non-Linear filtering: is a method that cannot be done with convolution or Fourier multiplication.
Ex: Sliding median filter.

15. Kernel/ convolution matrix/ Mask: is a matrix of values whose size and values determine the transformation effect of the convolution process. It is used for blurring, sharpening, embossing, edge detection, and more. This is done by doing the convolution between the kernel and the image.

16. Convolution is the process of transforming an image by applying a kernel over each pixel and its local neighbors across the entire image.
Convolution provides a way of multiplying together two arrays of numbers generally of different sizes, but of the same dimensions to produce a third array of numbers of the same dimensions.

Digital Image Processing Interview Questions And Answers | IMAGE PROCESSING INTERVIEW QUESTIONS & ANSWERS Digital Image Processing Interview Questions And Answers | IMAGE PROCESSING INTERVIEW QUESTIONS & ANSWERS Reviewed by IPR on May 06, 2022 Rating: 5

No comments:

Powered by Blogger.