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1) Write a Matlab function that takes as input a grayscale image and an integer n, then (1) partitions the image into 8x8 blocks, (2) computes the 2D-DCT of each block, (3) sets the last n DCT coefficients in each block to zero (choose the last coefficients according to the raster scan), (4) computes the inverse 2D-DCT of each block of coefficients, and (5) plots the resulting image 2) 2) Repeat ...
I need a license plate recognition system designed with Matlab to recognize Nigerian plates. Any algorithm(ANN, template matching etc) can be used. There is dataset available already. Consist of 10 images. Project budget is : $35
collect 2 CT scan (1 for chest and one for brain) that contain the whole range of CT numbers . write a mat-lab code to read a scan , display 3 different windows of each scan to show different tissue with high contact . apply a constant enhancement algorithm if needed