Unusual file formats within your day-to-day papers management and modifying operations can create instant confusion over how to modify them. You may need more than pre-installed computer software for effective and quick document modifying. If you need to cut off image in LOG or make any other basic change in your document, choose a document editor that has the features for you to work with ease. To handle all the formats, including LOG, choosing an editor that works properly with all types of files will be your best choice.
Try DocHub for efficient document management, regardless of your document’s format. It offers potent online editing tools that simplify your papers management process. You can easily create, edit, annotate, and share any papers, as all you need to gain access these features is an internet connection and an functioning DocHub account. Just one document tool is everything required. Do not lose time switching between various programs for different files.
Enjoy the efficiency of working with an instrument designed specifically to simplify papers processing. See how easy it is to edit any document, even if it is the very first time you have dealt with its format. Register an account now and improve your entire working process.
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