By Allen Downey B.

If you understand how to application, you've gotten the talents to show facts into wisdom utilizing the instruments of likelihood and data. This concise advent exhibits you ways to accomplish statistical research computationally, instead of mathematically, with courses written in Python.

You'll paintings with a case learn in the course of the ebook that will help you research the full info research process—from amassing facts and producing information to settling on styles and checking out hypotheses. alongside the way in which, you'll get to grips with distributions, the foundations of likelihood, visualization, and lots of different instruments and concepts.
* increase your knowing of likelihood and information through writing and checking out code
* Run experiments to check statistical habit, akin to producing samples from numerous distributions
* Use simulations to appreciate strategies which are difficult to understand mathematically
* research themes now not often lined in an introductory path, comparable to Bayesian estimation
* Import information from nearly any resource utilizing Python, instead of be constrained to information that has been wiped clean and formatted for information instruments
* Use statistical inference to respond to questions about real-world information

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This provision does not disrupt the information content of either of the images. Image steganography can lead to a loss of a lot of information. Therefore, in our case, we have stored the first four bits (starting from the MSB) of each pixel in the hidden image in the last four bits (ending at the LSB) of each pixel in the front image. at(j,i)[0] = tHidden_image. at(j,i)[1] = tHidden_image. at(j,i)[2] = tHidden_image. at(j,i)[2] >> 4; } bitwise_or(tFront_image, tHidden_image, aStegedImage); } Code explanation The function which will perform the image steganography is as follows: void steganographMyImage(Mat& aFrontImage, Mat& aHiddenImage, Mat& aStegedImage) This function takes three parameters.

Short comments have also been included in the code itself to increase the readability. hpp" The preceding two header files will be a part of almost every program we write using the OpenCV library. As explained earlier, the highgui header is used for window creation, management, and so on, while the core header is used to access the Mat data structure in OpenCV. using namespace cv; using namespace std; 19 Instant OpenCV Starter The preceding two lines declare the required namespaces for this code so that we don't have to use the :: (scope resolution) operator every time for accessing the functions.

The preceding function takes six parameters, out of which the first one is the variable containing the source image to be modified. The second one is the variable to store the resized image. The third parameter is the output image size. In this case we have not specified this, but we have instead used the Size() function, which will automatically calculate it based on the values of the fourth and fifth parameters. The fourth and fifth parameters are the scale factors along the horizontal and vertical axes respectively.

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