Refer to the sample image with the high presence of a type of noise in Figure 1 below.Figure 1: Sample Image with Noise(a) Determine the type of noise in Figure 1 and list any TWO (2) possible factors that cause this noise.(b) Propose any TWO (2) methods to restore the above image.(c) Write a Java program with the use of a suitable noise filter from the OpenCV libraries to restore the aboveimage.

In image processing, an image is a two-dimensional signal. It is described by using the mathematical…

Refer to the sample image with the high presence of a type of noise in Figure 1 below. Figure 1: Sample Image with Noise (a) Determine the type of noise in Figure 1 and list any TWO (2) possible factors that cause this noise.

Refer to the sample image with the high presence of a type of noise in Figure 1 below. Figure 1: Sample Image with Noise (a) Determine the type of noise in Figure 1 and list any TWO (2) possible factors that cause this noise.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

See similar textbooks

Similar questions

Write a small piece of pseudo-code for generating a histogram H[L] for an intensity image I[YDIM][XDIM], where L is the total level of intensities of the image, H is the histogram array, XDIM * YDIM are the size of the image, and I[i][j] is the intensity value of the pixel at location (i,j), with i = 1, …, YDIM, and j = 1,…, XDIM. You might choose to use a certain program language that you are familiar with to write the code. You don’t have to compile the code.
Find on the internet (or use a camera to take) three different types of images: an indoor scene, outdoor scenery, and a close-up scene of a single object. Write python code to implement an adaptive thresholding scheme to segment the images as best as you can and write a brief summary.
Write a program to reduce the number of gray levels L in a PGM image from L=256 to: (i) L=128,(ii) L=32, (iii) L=8, and (iv) L=2. Show your results using the “lenna” and “peppers” images. Forcomparison purposes, subsample the gray-levels to better visualize the quantized images (e.g.,if L=128, you can use 0, 2, 4, …, 254 with Q=255 in the PGM file instead of 0, 1, 2, …, 127 withQ=127; similarly, if L=2, you can use 0, 127 with Q=255 instead of 0, 1 with Q=1).
Using Java Create data-files/model/cube.off, an axis-aligned cube with unit edge lengths, centered at the origin. You may make this file in a text editor directly, or write a procedure to generate it.
Adopt appropriate Java animation code to implement the video in the file "test3.wmv" and given that the parametric equation for a circle: x=r*cos(t) y=r* sin(t) with t in range [0, 2π] and r is the radius of the circle.
Computer Science Use only NumPy to create the Normalize Class: Image Normalization is a technique used to touch up images that are too dark or too light for the human viewing experience. Implement a version that outputs images with full dynamic range (0–255 pixel intensity). In other words, for each color channel (r, g, b), rescale the range of pixel values for that channel to include both 0 and 255. After normalizing, there should be at least one pixel with a red value of 0, at least one pixel with a red value of 255, at least one pixel with a green value of 0, etc. To normalize a list of numbers nums to the range 0–n, set nums[i] = (nums[i]−min(nums))/(max(nums)−min(nums))∗n for all i. Be careful! When max(nums) == min(nums), you should not touch that list (why?).
Using java language In voltTest[10] is an encapsulated array that contains 10 voltages. Display how many are ACTIVE (5V), SATURATED (greater than 5V) and CUTOFF (less than 5V). Use the UML diagram as a reference. setValue(int,int,int) – accepts the value of voltActive, voltSaturated and voltCutoff as a parameter, which is the number of active, saturated and cutoff voltages. displayResult() – displays the number of active, saturated and cutoff voltages.
I already saw a solution to this problem here, but it is not correct The edge-detection function (detectEdges) described in Chapter 7 and shown below returns a black and white image. Think of a similar way to transform color values so that the new image is still in its original colors but the outlines within it are merely sharpened. def detectEdges(image, amount): """Builds and returns a new image in which the edges of the argument image are highlighted and the colors are reduced to black and white.""" def average(triple): (r, g, b) = triple return (r + g + b) // 3 blackPixel = (0, 0, 0) whitePixel = (255, 255, 255) new = image.clone() for y in range(image.getHeight() - 1): for x in range(1, image.getWidth()): oldPixel = image.getPixel(x, y) leftPixel = image.getPixel(x - 1, y) bottomPixel = image.getPixel(x, y + 1) oldLum = average(oldPixel) leftLum = average(leftPixel)…
Write a Java program to take two 3-element vectors via keyboard entry and print the dot product of them in the console. You are only allowed to import the Scanner class from java.util package. Develop you program based on the below sample result.
3. Write python codes to implement two images addition with different weights. Then show the original two images and the combined one in the same figure. Notes: addWeight() of cv2 can be used to add two images with different weights. subplot() of matplotlib can be used to show images in one figure. Requirement: must submit your codes and the outputs. Note: please don't copied from another question i want a new answer .. or i will report this second time i post this question.
The Problem: You are coding a graphics filter that process each of animage through a filter. Each pixel is defined a triplet of real numbers (R,G,B)each of which is between 0 and 255.The filtering algorithms need to work on real numbers in order to do theirjob. But examining the program you discover that they only need two digits ofaccuracy. Any additional digits is just overkill.The Problem: You are coding a graphics filter that process each of animage through a filter. Each pixel is defined a triplet of real numbers (R,G,B)each of which is between 0 and 255.The filtering algorithms need to work on real numbers in order to do theirjob. But examining the program you discover that they only need two digits ofaccuracy. Any additional digits is just overkill.
Implement two different versions of quicksort in a high level programming language. The first version will use the first element of the array as the pivot. The second version will use the median of the first element, middle element, and last element of the array as the pivot. For each version, compare the performance on random arrays of data of sizes 10n for n = 2, 3, and 4. Create three graphs (one for the random data, one for the increasing data, and one for the decreasing data) to illustrate your results. Discuss these results.