Exploration14

#create a duplicate of the image for y in range (image.getHeight()-1): for x in range (1, image.getWidth () -1): #Row major traversal of each pixel #display in the image oldPixel=image.getPixel(x,y) #Get the pixel present at current place leftPixel=image.getPixel(x-1,y) #Get left pixel. bottomPixel=image.getPixel (x, y+1) #Get bottom pixel oldLum-average (oldPixel) #calcule luminance of current pixel leftLum-average (leftPixel) #calculate luminance of left pixel bottomLum=average (bottomPixel) #calculate luminance of right pixel if abs (oldLum-leftLum) >threshold or\ abs (oldLum-bottomLum) >threshold: new.setPixel (x,y, sharpen (old, degree)) return new #3main function def main (): #Input image image=Image ("testImage.gif") image.draw () #Call the method, edge detection out=edge_detection (image, 80,10) out.draw () if main () name main ": ==

Task 4: Write a Matlab code to do the following: 1. Read a "cameraman.tif image 2. Make the image smaller to [50, 50] and call it small_img 3. Enlarge the output image from step 2 (small_img) into [400, 400] using nearest neighbor interpolation. 4. Enlarge the output image from step 2 (small_img) into [400, 400] using Bilinear interpolation.

Please use Matlab for the question

Q1- Assume that an image of 32x32 distributed as follows: Gray level 12 14 15 16 18 19 20 21 22 Num of pixels 74 50 100 250 150 280 30 50 40 a) Draw the image histogram b) Find the equalized histogram

Implement an application that will compute and display the INTEGRAL image feed along with the stereo and RGB feed. You cannot use a built-in function such as “output = integral_image(input)”

no code is needed this is a hand written question    Question: You are given the following grays-scale image of size 2x2. Interpolate this image to size 3x3 using Bilinear Interpolation   100 200 80 60

Build on our PBM image creator from (code shown below) to create a fully functional image editor (in C++), using 2D arrays to store our changes. To make it more interesting by switching to the Portable Gray Map standard. 8 bit PGM files have color values ranging from 0 (black) to 255 (white), with the values in-between being shades of gray. The header is very similar to PBM, and looks like this: P2 WIDTH HEIGHT 255 IMAGE_DATA The P2 tells image readers that it is a PGM file, and the 255 indicates the largest possible color value is 255. You will first prompt the user to enter a width, height, and initial color value to fill the image. You should then create a 2D array with those dimensions and initialize each cell with that color value. You will then use a loop to create a menu that repeatedly prompts the user to make one of the following choices: Fill in a pixel with a new color ◦ Prompt the user to enter a row and column value and a new color value. If the array has that row and…

Please use the Python languageUse filters for any image using kernel (filter) matrices. It should be done using loops (you can only use the image processing libraries to open or read the image). Apply these filters to an image you prefer with Python. Provide the outputs.

4. Suppose there is a 4 * 4 image as shown below, if we reduce the image to 3 * 3 pixels, please give the value of each pixel, and please give the calculation process of bilinear interpolation. 0 1 2 3 O 8 4 28 16 2 4 6 2 2 6 84 3 46 4 2 0 1 2 O ABC 1DEF 2 GH1 Y

Computer Science */ JAVA   Compile and run the ImageGen01 application. Experiment with alternate formulas for the value of c. Add two more int variables so that you can separately set the RGB values of color and experiment some more. Share your most interesting re- sults with your classmates.

7.Do code complete"""You are given an n x n 2D mat representing an image. Rotate the image by 90 degrees (clockwise). Follow up:Could you do this in-place?""" # clockwise rotate# first reverse up to down, then swap the symmetry# 1 2 3     7 8 9     7 4 1# 4 5 6  => 4 5 6  => 8 5 2# 7 8 9     1 2 3     9 6 3 def rotate(mat):    if not mat:        return mat    mat.reverse()    for i in range(len(mat)):        for j in range(i):            mat[i][j], mat[j][i] = mat[j][i], mat[i][j]    return mat if __name__ == "__main__":    mat = [[1, 2, 3],           [4, 5, 6],           [7, 8, 9]].

Using Python  Follow these steps to create your Warhol Grid: Find or create an image (for this activity, a smaller starting image will produce higher quality results in a shorter amount of time). Using the Python documentation as a guide, create a program that loads the image, filters three copies of it, and saves the result. Note: You will need to create the three filters using the filter() method. Include multiple filters on at least two of your variants. One of your variants must apply a single filter multiple times with the use of a loop. For example, the top right image above uses a loop to blur the image 2 times (what if we did it 100 times?). One of your images must apply at least two different filters to the same image. In the example image, the bottom right image includes a a filter to smooth the image and then edge enhance them. Create the Warhol Grid using Python with the three images you have created. You may modify and use the following starter code: Filters.  to…

Write a R Program output for below image.

What color is color _rgb ( 0, 255 , 255) ?a) yellow b) cyan c) magenta d) orange

Perform histogram equalization on the following 6*6 image the gray scalelevel distribution of the image is given below

Q1: Rescale the following image to be 50% smaller than its original size (you should avoid Aliasing) 25 19 17 19 22 23 19 20 22 32 32 33 20 44 43 46 Q2: Rescale the following image to be 200% bigger than its original size using both Nearest neighbor interpolation BİLinear interpolation 25 17 19 19 22 32

GIF is best suited for storing simple graphic images with relatively few colors?         False       True

do the code by python with screenshot for code and output   Upload an image from your computer Read that image 3- Calculate the histogram for that image

Do fast.

Read the sunspot data file and produce a scatter plot of os sunspot countsfrom 1849 to 2023. Use a marker size of one, and make the marker face and edge colors the same.Label the horizontal axis with years. Plot all the data points for every day from 1840 to 2023. Create the numbers for the horizontal axis by extracting the year from the lines inthe data file. You can look at the peak finding example programs to see a use of scatter plots. This should be a fairly quick assignment. The next program will involve using the same sunspot data, appyingsmoothing, then finding and plotting the peaks and computing the period of the solar cycle.

In octave, using a grayscale image how can you create a block matrix B so that the first 300 columns of the product C = AB are the last 300 columns of A and the last 212 columns of C are the first 212 columns of A.Then display the image C.

This is a ------ mega pixels picture.

Write a code and impelement one of the point processing techniques below. Use phython 3 /Jupyter Notebook. Please se nested loops to itterate through each indvidual pixel. the image file is in pgm format.  a. linear transformation b. non linear trasformation c. histogram genertion (the code should output the histogram data to an output file. You can then use an exisiting softeare such as excel to generate the histogram(bar chart) d. Histogram equation

Write a PYTHON program that can take any sort of image(jpeg, png, etc) as input from your computer and turn it into a DST/.dst image or file the program must have a gui and a button that says convert with a save button to save the dst file aswell

- manufacturer: String -width: double -height: double -horizontalPixels: double -verticalPixels: double DisplayPanel + DisplayPanel() + DisplayPanel(man: String, w: double, h: double, hp: double, vp: double) + setManufacturer(man: String): void + setWidth(w: double): void + setHeight(h: double) : void + setHorizontalPixels(hp: double): void + setVerticalPixels(vp: double): void + getManufacturer(): String +getWidth(): double + getHeight(): double +getHorizontalPixels(): double +getVerticalPixels(): double +diagonalSize(): double + pixelsPerinch(): double + totalPixels(): double +toString(): String The unit for height and width is inches. The unit for horizontalPixels and verticalPixels is pixels diagonalSize()- The hypotenuse of the triangle defined by the width and height. The unit of the returned value is inches. pixels Perinch() - Please see the linked resource in the description for how to calculate this. totalPixels()-The product of horizontalPixels and vertical pixels. The unit…