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.)

Demonstrate the effectiveness of histogram equalization as a powerful adaptive contrast enhancement tool using Matlab. a. Compute and display the histogram of a grey-scale image with and without using the built-in functions. b. Equalize the histogram with and without using the built-in functions. c. Construct the histogram equalized image. d. Compare the equalized and original images and histograms.

The pixels in a 3 x 3 image sub-block are as follows: 3 4 2 9 ? 1 3 7 3 (a) Estimate the unknown pixel in the center using both a mean and a median estimator. (b) Repeat if the pixel of value 1 is changed to 25. Are both the mean and median affected? Why or why not?

Thank you. But can you use the parameters and the formula given in the image??

Consider two images. One should be relatively large, like 512 x 512 pixels that contains several sparsely populated points with magnitude 255, and the other is small such as 15 x 15 that contains a non-symmetric object like, with the object white and the background black for both images.  Perform both the correlation, and convolution of the two images separately and correctly label each result. Make the resulting image the same size as the larger input image.

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.

If you used RLE (run-length encoding), how do you suggest we compress the following black and white image? How much space (in bits) did we save by compressing the image? What is the ratio?

Shows the results of applying gamma correction to an input image using two different values of n, how does the shape of the curve change if we were to use a different value for n?

Explain,....

Hello, could you please show working out how to tackle this question. It is a question to answer using paper method. My end of year exam for Image Analysis is nearing and I have been informed questions like these will pop up.    Thanks