Compress the given image using the Huffman encoding technique. Also compute the entropy of the image
step 1:
Image size is 6*6
Frequency:
frequency probablity(frequency/36)
symbol 101 9 0.25
symbol 105 6 0.17
symbol 120 10 0.27
symbol 123 3 0.08
symbol 192 8 0.23
-
so symbol 120 can be encoded as 00
so symbol 101 can be encoded as 01
so symbol 192 can be encoded as 11
so symbol 105 can be encoded as 100
so symbol 123 can be encoded as 101
Entropy=summation(-probability*(log2(probability))
Entropy of the image= -0.27*log2(0.27) -0.25*log2(0.25) -0.23*log2(0.23) -0.17*log2(0.17) -0.08*log2(0.08)
= 2.22367
Hope the solution is useful
Compress the given image using the Huffman encoding technique. Also compute the entropy of the image...
Request solve following question from Digital Image Processing 5. Consider Huffman encoding pairs of pixels rather than individual pixels. That is, consider the image to be produced by the second extension of the zero-memory source that produced the original image. What is the entropy of the image when looked at as pairs of pixels? (10) 5. Consider Huffman encoding pairs of pixels rather than individual pixels. That is, consider the image to be produced by the second extension of the...
. Huffman Encoding (a.) (6 points) Suppose a certain file contains only the following letters with the corresponding frequencies 1 AİB 73 9 30 44 130 28 16 In a fixed-length encoding scheme, cach character is given a binary representation with the same number of bits. What is the minimum number of bits required to represent each letter of this file under fixed-length encoding scheme? Describe how to encode all seven letters in this file using the number of bits...
In lectures we discussed how bitmap images are stored as a grid of pixel values. Each pixel has a colour value, and colour can be encoded using the RGB encoding scheme. In lectures we also discussed using the RLE compression technique. Examples of the RLE technique being used to compress text were given. Instead of storing every single character individually, if there is a sequential run of identical characters, data on one character is stored along with a count of...
all the information given is seen on the image above O ENTROPY AND FREE ENERGY Using reaction free energy to predict equilibrium composition Seth v Consider the following equilibrium: 41.J 2NOCI() - 2NO()+cl, AG". Now suppose a reaction vessel is filled with 6.63 atm of nitrosyl chloride (NOCI) and 3.52 atm of chlorine (C1,) at 1049. °C. Answer the following questions about this system: rise Under these conditions, will the pressure of NOCI tend to rise or fall? X 5...
Encoding and Decoding PPM image 3 & 4 are parts of question 2 Code for a09q1: We were unable to transcribe this image3 Encoding an Image in a09q2.py In the next four sections, you will no longer write class methods but rather functions. In each of the next four parts, you should be importing the PPM class from a09q1.py to use with the command from a09q1 import PPM Note that this is similar to how the check module was imported...
Given the data, “01101100” and the divisor, “101”. Please compute the FSC using the CRC method. You need to show the computation process
Also known are the Equations of State in the Entropy form: 3.9-4. Compute Cp, Cu, Ks, and Ky for the system in Problem 1.10-1(a). With these values corroborate the validity of equations 3.75 and 3.76. R21/3 a) S = 3) (NVUJI 0.0 The coefficient of thermal expansion is defined by 1/ av var (6) - FCT). (3.67) The coefficient of thermal expansion is the fractional increase in the volume per unit increase in the temperature of a system maintained at...
Use the technique of simplifying this circuit using equivalent resistances into smaller, simpler circuits Given the following circuit: R1 R2 R3 R4 Vs E R5 If RI-36 Ω, R2 : 12 Ω, R3-12 Ω, R4 24 Ω, R5-12 Ω and Vs-9 Volts, determine the circuit equivalent resistance (REQ) and the circuit current (). Also calculate the branch currents through R2, R3, R4, and R5, and the voltage drops across R I, R2, R3, R4 and RS.
This is the given code: /** * This program uses a Taylor Series to compute a value * of sine. * */ #include<stdlib.h> #include<stdio.h> #include<math.h> /** * A function to compute the factorial function, n!. */ long factorial(int n) { long result = 1, i; for(i=2; i<=n; i++) { result *= i; } return result; } int main(int argc, char **argv) { if(argc != 3) { fprintf(stderr, "Usage: %s x n ", argv[0]); exit(1); } double x = atof(argv[1]); int...
3 Compute Euclidean distance using Numpy Arrays • The Euclidean distance d is given by the following equation: N d(a,b) = (a - b)2 Complete the following Euclidean distance function with two parameters of Numpy arrays • Hint: you may use np.sqrt and np.sum to compute the two Numpy arrays [73]: def euclidean_distance(a,b): return 0 Test your Euclidean distance function using two Numpy arrays [74]: A = np.array(range(100)) B - np array(range(1, 101)) print (euclidean_distance (A,B)) 0 [ ]: