Q1. What Do You Meant By Zooming Of Digital Images?

Zooming may be viewed as over sampling. It involves the creation of new pixel locations and the assignment of gray levels to those new locations.

Q2. Write Any Four Applications Of Dip?

- Remote sensing
- Image trmission and storage for business application
- Medical imaging
- Astronomy

Q3. What Do You Meant By Shrinking Of Digital Images?

Shrinking may be viewed as under sampling. To shrink an image by one half, we delete every row and column. To reduce possible aliasing effect, it is a good idea to blue an image slightly before shrinking it.

Q4. Explain Mask Or Kernels?

A Mask is a small two-dimensional array, in which the value of the mask coefficient determines the nature of the process, such as image sharpening.

Q5. Give The Properties Of One-dimensional Dft?

- The DFT and unitary DFT matrices are symmetric.
- The extensions of the DFT and unitary DFT of a sequence and their inverse trforms are periodic with period N.
- The DFT or unitary DFT of a real sequence is conjugate symmetric about N/@

Q6. Write The Expression Of One-dimensional Discrete Fourier Trforms?

Forward trform

The sequence of x(n) is given by x(n) = { x0,x1,x2,… xN-1}.

X(k) = (n=0 to N-1) _ x(n) exp(-j 2* pi* nk/N) ; k= 0,1,2,…N-1

Reverse trforms

X(n) = (1/N) (k=0 to N-1) _ x(k) exp(-j 2* pi* nk/N) ; n= 0,1,2,…N-1

Q7. What Do You Meant By Gray Level?

Gray level refers to a scalar measure of intensity that ranges from black to grays and finally to white.

Q8. Write Down The Properties Of 2d Fourier Trform?

- Separability
- Trlation
- Periodicity and Conjugate property
- Rotation
- Distributivity and scaling
- Average value
- Convolution and Correlation
- Laplacian

Q9. Define Averaging Filters?

The output of a smoothing, linear spatial filter is the average of the pixels contain in the neighborhood of the filter mask. These filters are called averaging filters.

Q10. What Is Image Negatives?

The negative of an image with gray levels in the range [0, L-1] is obtained by using the negative trformation, which is given by the expression.

s = L-1-r

Where s is output pixel.

r is input pixel.

Q11. What Do You Mean By Point Processing?

Image enhancement at any Point in an image depends only on the gray level at that point is often referred to as Point processing.

Q12. What Are The Properties Of Slant Trform?

- Slant trform is real and orthogonal.
- Slant trform is a fast trform
- Slant trform has very good energy compaction for images
- The basic vectors of Slant matrix are not sequency ordered.

Q13. Define The Term Radiance?

Radiance is the total amount of energy that flows from the light source, and it is usually measured in watts (w).

Q14. Write The Expression For Hadamard Trforms?

Hadamard trform matrices Hn are NXN matrices where N=2^n , n= 1,2,3,… is defined as Hn= Hn-1 * H1 = H1* Hn-1

= 1/ _ 2 Hn-1 Hn-1

H2 = 1 1

1 –1

Q15. What Are The Applications Of Trform?

- To reduce band width
- To reduce redundancy
- To extract feature.

Q16. Define Tapered Quantization?

If gray levels in a certain range occur frequently while others occurs rarely, the quantization levels are finely spaced in this range and coarsely spaced outside of it.This method is sometimes called Tapered Quantization.

Q17. Define Mach Band Effect?

The spatial interaction of Luminance from an object and its surround creates a Phenomenon called the mach band effect.

Q18. What Is The Effect Of Mach Band Pattern?

The intensity or the brightness pattern perceive a darker stribe in region D and brighter stribe in region B.This effect is called Mach band pattern or effect.

Q19. Define Image?

An Image may be defined as a two dimensional function f (x,y) where x & y are spatial (plane) coordinates, and the amplitude of f at any pair of coordinates (x,y) is called intensity or gray level of the image at that point. When x,y and the amplitude values of f are all finite, discrete quantities we call the image as Digital Image.

Q20. Write The Expression To Find The Number Of Bits To Store A Digital Image?

The number of bits required to store a digital image is

b=M X N X k

When M=N, this equation becomes

b=N^2k

Q21. Write The Properties Of Hadamard Trform?

- Hadamard trform contains any one value.
- No multiplications are required in the trform calculations.
- The no: of additions or subtractions required can be reduced from N^2 to Nlog2N
- Very good energy compaction for highly correlated images.

Q22. Define Brightness?

Brightness of an object is the perceived luminance of the surround. Two objects with different surroundings would have identical luminance but different brightness.

Q23. Give The Conditions For Perfect Trform?

Trpose of matrix = Inverse of a matrix. Orthoganality.

Q24. What Is Image Enhancement?

Image enhancement is to process an image so that the output is more suitable for specific application.

Q25. Explain Spatial Filtering?

Spatial filtering is the process of moving the filter mask from point to point in an image. For linear spatial filter, the response is given by a sum of products of the filter coefficients, and the corresponding image pixels in the area spanned by the filter mask.

Q26. Define The Term Luminance?

Luminance measured in lumens (lm), gives a measure of the amount of energy an observer perceiver from a light source.

Q27. Justify That Klt Is An Optimal Trform?

Since mean square error of reconstructed image and original image is minimum and the mean value of trformed image is zero so that uncorrelated.

Q28. Properties Of Twiddle Factor?

@Periodicity

WN^(K+N)= WN^K

@Symmetry

WN^(K+N/2)= -WN^K

Q29. What Is Dynamic Range?

The range of values spanned by the gray scale is called dynamic range of an image. Image will have high contrast, if the dynamic range is high and image will have dull washed out gray look if the dynamic range is low.

Q30. Define Haar Trform?

The Haar functions are defined on a continuous interval Xe [0,1] and for K=0,1,……. N-1.Where N=2^n. The integer k can be uniquely decomposed as K=2^P+Q-1.

Q31. What Are The Properties Of Unitary Trform?

- Determinant and the Eigen values of a unitary matrix have unity magnitude
- The entropy of a random vector is preserved under a unitary Trformation
- Since the entropy is a measure of average information, this me information is preserved under a unitary trformation.

Q32. Define Of Kl Trform?

KL Trform is an optimal in the sense that it minimizes the mean square error between the vectors X and their approximations X^. Due to this idea of using the Eigenvectors corresponding to largest Eigen values. It is also known as principal component trform.

Q33. Define Image Sampling?

Digitization of spatial coordinates (x,y) is called Image Sampling. To be suitable for computer processing, an image function f(x,y) must be digitized both spatially and in magnitude.

Q34. What Is Maximum Filter And Minimum Filter?

The 100th percentile is maximum filter is used in finding brightest points in an image. The 0th percentile filter is minimum filter used for finding darkest points in an image.

Q35. Write The M X N Digital Image In Compact Matrix Form?

f(x,y )= f(0,0) f(0,1)………………f(0,N-1)

f(1,0) f(1,1)………………f(1,N-1)

.

.

.

f(M-1) f(M-1,1)…………f(M-1,N-1)

Q36. Write The Properties Of Sine Trform?

- Real, symmetric and orthogonal.
- Not the imaginary part of the unitary DFT.
- Fast trform.

Q37. Write Down The Properties Of Haar Trform?

- Real and orthogonal
- Very fast trform
- Basis vectors are sequentially ordered
- Has fair energy compaction for image
- Useful in feature extraction,image coding and image analysis problem

Q38. Define Quantization ?

Digitizing the amplitude values is called Quantization. Quality of digital image is determined to a large degree by the number of samples and discrete gray levels used in sampling and quantization.

Q39. What Is A Median Filter?

The median filter replaces the value of a pixel by the median of the gray levels in the neighborhood of that pixel.

Q40. Explain The Term Digital Image?

The digital image is an array of real or complex numbers that is represented by a finite no of bits.

Q41. Give The Properties Of Two-dimensional Dft?

- Symmetric
- Periodic extensions
- Sampled Fourier trform
- Conjugate symmetry.

Q42. Write The Properties Of Cosine Trform?

- Real & orthogonal.
- Fast trform.
- Has excellent energy compaction for highly correlated data

Q43. Define Derivative Filter?

For a function f (x, y), the gradient f at co-ordinate (x, y) is defined as the

vector_f = _f/_x

_f/_y

_f = mag (_f) = {[(_f/_x) 2 +(_f/_y) 2 ]} ½

Q44. What Is Cosine Trform?

The NXN cosine trform c(k) is called the discrete cosine trform and is defined as

C(k) = 1/_N , k=0, 0 _ n _ N-1 = _ (2/N) cos (pi (2n+1)/2N 1_ k _ N-1, 0_ n _ N-1

Q45. Name The Categories Of Image Enhancement And Explain?

The categories of Image Enhancement are

- Spatial domain
- Frequency domain Spatial domain: It refers to the image plane, itself and it is based on direct manipulation of pixels of an image.

Frequency domain techniques are based on modifying the Fourier trform of an image.

Q46. Define Resolutions?

Resolution is defined as the smallest number of discernible detail in an image. Spatial resolution is the smallest discernible detail in an image and gray level resolution refers to the smallest discernible change is gray level.

Q47. Define Histogram?

The histogram of a digital image with gray levels in the range [0, L-1] is a discrete function h (rk) = nk, where rk is the kth gray level and nk is the number of pixels in the image having gray level rk.

Q48. What Is Image Trform?

An image can be expanded in terms of a discrete set of basis arrays called basis images. Unitary matrices can generate these basis images. Alternatively, a given NXN image can be viewed as an N^2X1 vectors. An image trform provides a set of coordinates or basis vectors for vector space.

Q49. Obtain The Hadamard Trformation For N = 4?

N = 4 = 2n

=> n = 2

Q50. What Are The Properties Of Haar Trform?

- Haar trform is real and orthogonal.
- Haar trform is a very fast trform
- Haar trform has very poor energy compaction for images
- The basic vectors of Haar matrix sequency ordered.