Editing image is fast and straightforward using DocHub. Skip downloading software to your PC and make alterations using our drag and drop document editor in a few easy steps. DocHub is more than just a PDF editor. Users praise it for its convenience and robust features that you can use on desktop and mobile devices. You can annotate documents, generate fillable forms, use eSignatures, and send records for completion to other people. All of this, put together with a competing price, makes DocHub the perfect option to redo sample in image files with ease.
Make your next tasks even easier by converting your documents into reusable templates. Don't worry about the protection of your information, as we securely store them in the DocHub cloud.
in this tutorial we will learn how to construct an image from sample points to do that letamp;#39;s take an image variable first and load an image in that image variable as it is an application of 2d convolution we need to convert disc RGB image into a grayscale email and matlabamp;#39;s two-dimensional convolution request double data type that is why weamp;#39;re converting the grayscale image into double data time now we will create a zero image that is equal to our existing image to do that first letamp;#39;s get the size of our existing image and construct a zero image of the same size of our existing image now using matlabamp;#39;s rand function we will take some random points we are taking less than 20% of random points whose location is defined by the rows and columns that we measured earlier now we will plot this random points on our 0 image so this line represents the sample points using what we will reconstruct the image to do that we will use Gaussian filter and the con