![]() preset files, as exported from our Desktop Applications, to make setting the correction parameters as easy as possible. Our sample applications also read and write from JPEG and PNG image files, and can read. There are sample projects ( Linux & OSX Sample Code, Windows Sample Code, C# Sample Code) that show this in all platforms we support. Our Workbench application allows exporting these parameters into code ready to copy/paste into your projects. ![]() The correction parameter structures are also slightly different across the three platforms. They are easy to confuse when looking back and forth through examples and this document. The function names are very similar, and the calling patterns are nearly identical. NET development platform ( Perfectl圜learAdapter.cs), and one for Android ( V9.java). There are three main functional reference sections - one for the standard C library ( Perfectl圜learPro.h), one for. ![]() Reading the corrected data out of the PFCIMAGE, or again using PFCImageFile to write the results to a JPEG or PNG file.Apply the corrections with PFC_AutoCorrect(), or separately call PFC_Calc() and then PFC_Apply() functions.Setting the corrections you want to apply in a PFCPARAM (detailed here).Loading image data into a PFCIMAGE (either directly from existing memory raster data, or using PFCImageFile).Enabling License setup with PFC_SetProtectionPath.This SDK includes a large set of image quality improvements, as well as new functions, file support, and a pre-build command line application included with each SDK license.Īpplying the Perfectly Clear corrections will require the following steps: Next you'll find several examples for various platforms, and finally a full reference section. In the Table of Contents on the left, the first several pages provide an overview of the SDK. This guide will explain how to use the Perfectly Clear SDK to enable fully-automatic or interactive image corrections in your applications.
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