hich spatial filters do you use to reduce the noise if an image is corrupted by (i) salt and pepper noise only, (ii) Gaussian noise only, (iii) both salt and pepper noise and Gaussian noise. Give a single filter name as answer to each cases asked above.

Solve the problem in the image using two tapes (k=2) and check it with a suitable example.

Consider a room with world coordinate system U-V-W as shown. Two cameras are mounted in the room, forming a stereo pair. The world coordinate origin is in one corner of the room, with UV-W axes shown. The "Left" camera Cl is located at world coordinates (10,1,3) and it's xl-yl-zl axes are oriented as shown. The "Right" camera Cr is located at world coordinates (7.1,2) and its xr-yr-zr axes are oriented as shown. Both cameras have a focal length of 1. U (1) What is the 3x4 matrix that maps 3D points in world coordinates into 2D points in film plane coordinates (when points are represented as homogeneous coordinates), for the left camera CI? (2) What is the 3x3 essential matrix for the two cameras, treating them as a stereo pair where Cl is the "left camera" and Cr is the "right" camera?

Task 1. Laplacian of Gaussian   Write a MATLAB function to create a mask to implement the Laplacian of Gaussian filter. This is the second derivative of the Gaussian noise function.   Show the results of applying your filter to the 'Shakey' image, outlining the steps taken and discussing your findings. Discuss the use and method of any noise removal technique used.

While doing Histogram Stretching, we established that we go pixel by pixel through whole image and apply Histogram Stretching Formula for each pixel. So, for example in the following image, if there are 100 pixels, we would do Histogram Stretching Formula 100 times. Do you think we could do Histogram Stretching for whole image and calculate this formula fewer times ? If no why ? If yes, how ?

The issue: You are programming a graphics filter that filters each individual picture. The definition of a pixel is a triplet of real integers (R, G, and B), each of which ranges from 0 to 255. For the filtering methods to function properly, real numbers must be used. However, after looking at the software, you find that they only require two digits of accuracy. Any extra numbers are just unnecessary.

Please assist with coding this matlabb problem exercise. Need help with number 1, refer to both image. Thank you.

Subject - DIP (digital imag processing) code hcp164

(a) An image with 8 gray levels is shown in the following figure. Hand calculates histogram equalization to the image. Show how you compute the mappings and the histogram equalized image. [2 0 1 1 01 155 5 1 4 5 4 4 5 4 5 5 5 7 Lo 1 5 6 1- (b) Hand calculates the Sobel edge detection on the image below. Step: (1) apply X operator (convolution) to obtain GX, (2) apply Y operator to obtain GY, (3) combine GX and GY using the "sum of absolute values" to obtain G. Show your GX, GY and G. 0 0 0 0 100 0 100 0 0 0 0 0 0 100 100 100 100 0 0 100 100 100 Image: 0 0 100 100 100 100 100 100 0 0 0 0 100 0 0 100 100 100 100 0 0 0 0 Lo 0 -1 0 11 0 2 -1 0 11 -2 X operator: -2 Y operator: 1 1

The Issue: You're writing a graphics filter that runs each picture through a filter. Each pixel is specified as a triplet of real numbers (R,G,B) ranging from 0 to 255. To do their task, the filtering algorithms must operate on actual numbers. However, when you examine the software, you will notice that they only require two digits of accuracy. Any extra digits are unnecessary.