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.

Apply the histogram equalization process in the range of [0-15] for the image fragment given below. Show the new pixel values obtained as a result of histogram equalization in the blank image on the right. (I would be very happy if you could be quick.)

Answer the given question with a proper explanation and step-by-step solution.  Each image-processing function that modifies its image argument has the same loop pattern for traversing the image. The only thing that varies is the code used to change each pixel within the loop. Design a single function, named transform, which expects an image and a function as arguments. When this function is called, it should be passed by another function that expects a tuple of integers and returns a tuple of integers. This is the function that transforms the information for an individual pixel (such as converting it to black and white or gray-scale) The transform function contains the loop logic for traversing its image argument. In the body of the loop, the transform function accesses the pixel at the current position, passes it as an argument to the other function, and resets the pixel in the image to the function’s value. Write and test a script that defines this function and uses it to perform at…

Write matlab code to plot  Y = x3 -1 Where x= 0:0.01:1. Also attach screenshot of output.

Give details of the convolution operation and describe its application in the field of image processing. You should support your answer with the use of mathematical expressions, pseudo- code and diagrams.

create code...preferably matlab for the image question

Suppose we want to put the camera in position e(1, 0, 1) and aim it at position a(0, 0, 0) with view up position u(0, 1, 0) in the world coordinate system. Write the related code using the look-at function to setup the model-view matrix.