When you edit files in different formats daily, the universality of your document solution matters a lot. If your tools work for only a few of the popular formats, you may find yourself switching between software windows to cut image in LOG and handle other file formats. If you want to remove the headache of document editing, go for a solution that can effortlessly manage any extension.
With DocHub, you do not need to concentrate on anything but actual document editing. You won’t have to juggle applications to work with diverse formats. It will help you edit your LOG as effortlessly as any other extension. Create LOG documents, modify, and share them in one online editing solution that saves you time and boosts your efficiency. All you need to do is sign up a free account at DocHub, which takes just a few minutes or so.
You won’t have to become an editing multitasker with DocHub. Its feature set is sufficient for speedy document editing, regardless of the format you want to revise. Start by registering a free account and discover how effortless document management might be with a tool designed particularly to meet your needs.
now let us learn the logarithmic transformation of image the formula for logarithmic transformation is s is equal to small s is equal to C log of small R plus 1 where in the small R represents the pixel intensity of input image and the smallest represents pixel intensity of output image this C is constant generally the value of this C is equal to one so if we assume C is equal to one then formula becomes s is equal to log of R plus one if we plot this formula on the graph we get something like this let x-axis represent small R that is pixel intensity of input image and y-axis represents small s that is pixel intensity of output image the pixel intensity of input image varies from 0 to 255 and output image also it varies from 0 to 255 wherein the zero represents perfect black and 255 represents perfect white somewhere here there will be 120 say when an output image also zero represents perfect black and 255 represents perfect white if we plot this s is equals to log of R plus 1 on the