RMS Contrast

Computer Vision

Difficulty: 2 | Problem written by mesakarghm
The RMS contrast value of an image is defined as the standard deviation of the pixel values for the given image. 

Write a function rms_contrast(img) which takes in a grayscale image as input (represented as 2D NumPy array) and returns the RMS contrast of the input image.  The output should be a floating point value representing the RMS Contrast of the input image. 

Sample Input:
<class 'numpy.ndarray'>
img: [[ 1 7 119 13 12] [ 11 21 61 81 91] [ 5 66 6 5 5] [ 5 66 166 145 155] [ 5 66 136 145 155]]

Expected Output:
<class 'float'>

This is a premium problem, to view more details of this problem please sign up for MLPro Premium. MLPro premium offers access to actual machine learning and data science interview questions and coding challenges commonly asked at tech companies all over the world

MLPro Premium also allows you to access all our high quality MCQs which are not available on the free tier.

Not able to solve a problem? MLPro premium brings you access to solutions for all problems available on MLPro

Get access to Premium only exclusive educational content available to only Premium users.

Have an issue, the MLPro support team is available 24X7 to Premium users.

This is a premium feature.
To access this and other such features, click on upgrade below.

Log in to post a comment


Input Test Case

Please enter only one test case at a time
numpy has been already imported as np (import numpy as np)