CImg Crack [2022]


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CImg Crack+ Free

CImg (Cool Image) is a C++ image processing toolkit that provides an easy-to-use API for loading, saving,
saving, processing, displaying, resizing, resizing, rotating, filtering, adding annotations, aligning/cropping images, and 3D-viewing and manipulating images.
CImg provides functions for reading, writing, processing, displaying, resizing, cropping, re-sizing, rotating, moving, and manipulating images, as well as simple image filters, and for 3D visualization of 3D images.
CImg is particularly useful in a multitude of real-world applications, such as:
Display of 2D- and 3D images on desktop and web devices;
Paint splat and cartoon characters with rotation, scaling and cropping;
Image enhancement, contrast and colorization;
Geometric transformations (rotation, scaling, translation, perspective projection);
Image denoising and de-noising;
Denoise and de-noise while preserving the image details;

CImg is designed for absolute beginners to intermediate C++ programmers.
CImg provides a high level of integration with the standard C++ library. It is easy to use, fast, memory efficient, and highly optimized. It is also strongly type and thus provides a lot of safety and security.
The package contains CImg.h, CImgImage.h and CImg3D.h that should be included in the header of your C++ source code:
// Include the CImg header file:
#include «CImg.h»
// Use CImg as a namespace:
using namespace cimg_library;
// Load image from standard input:
// CImg::Image image(std::cin);
// Load image from file
CImg::Image image(«image.png»);
// Convert CImg::Image to CImg::Image
// Save image to standard output:
// Open a file for writing:
FILE * file = fopen(«image.png»,»wb»);
// Load 2D array of integers from file:
cimg_library::array_2D array_from_file(file);

CImg Product Key

IMG_OPTIMIZE_MEMORY When the library does not allocate any memory, that memory is simply returned to the OS, and the underlying OS structures are used instead.
IMG_OPTIMIZE_FOR_MEMORY The library will try to use as much memory as possible without getting into trouble.
IMG_OPTIMIZE_FOR_SPEED The library tries to use as few time as possible to perform its tasks.
IMG_OPTIMIZE_FOR_ROM or IMG_OPTIMIZE_FOR_CPU: When compiling for ROM (i.e. using the x86_64 microprocessor) the library will use a x86_64 instruction set. The code is optimized for speed and the code is compiled in 32bits, the assembly instructions are optimized and converted to c++ instructions with the help of gcc or gcc-4.x.
If the library is compiled with gcc-4.x the code is compiled in 32bits, and the code is optimized to make use of available registers.
To compile for CPU (i.e. using the powerpc or powerpcc processor) the code is compiled in 32bits, and the assembly instructions are optimized and converted to c++ instructions with the help of gcc or gcc-4.x.
IMG_OPTIMIZE_FOR_SIZE The library will try to be as small as possible.
IMG_OPTIMIZE_FOR_ASCII The library will try to be as small as possible, and use as little memory as possible for ASCII characters.
IMG_OPTIMIZE_FOR_ASCII_INTERPOLATE The library will try to be as small as possible, and use as little memory as possible for ASCII characters.
CImg is not a 1-line project, you can see the code at the links below, or in the source tarball (see the tarball)


CImg Free Download

CImg is a powerful C++ image processing library built on top of several scientific/scientific-computing libraries such as:

CImg provides many image-processing features:

* Image cropping, resizing, rescaling, converting to greyscale, grayscale and color
* Canny edge detector
* Thresholding, median filtering, histogram equalization, gamma correction
* Color quantization
* Logarithmic and gamma maps
* Histogram equalization
* FFT, JPEG/JFIF/GIF reading and writing, G3 fax, PNG/G4 fax
* Fast Fourier Transform (FFT)
* Fast fourier transform with option to truncate the last half of the spectrum
* Sparse and/or fast FFT (for high resolution images)
* Wavelets (with haar, symlet, coiflet, db4, db5, db6)
* Linear, quadratic, cubic, logarithmic and exponential filters
* Blur/sharpen and image noise removal
* Image deblocking
* Fast and reversible conversions between most bit depth (e.g. 8-bit, 16-bit, 32-bit, float, double, int16, int32, uint16, uint32, bool)
* Image thumbnailing
* Complex images (floating point)
* Image median filtering
* Image resize
* Various statistical methods (e.g. mean, mode, median, min/max, variance, standard deviation, interquartile range, kurtosis)
* Simple/customized image viewers
* Customizable modules to enhance (crop, rotate, sharpen, and blurring) images and to display them in any supported formats: GIF, JPG, PGM, XPM, PNG, TIF, BMP, WBMP, PSP, TGA, PCD, PPM, PGM, PBM, PCX, PXM, MIFF, SGI, IM, DAT, MRA, VOL, MFF, CGM, SPC, DICOM, NIFTI, DTK, CINE, RASTER, SPARSE, MHT, MPT, XRC, PS, NBT, GIF+, SGI, II, TGA, SGI, PCDS, JPEG2000, GIF, PNG, BMP, PGM, PBM, PBM

What’s New In CImg?

CImg is an open source C++ toolkit for image processing. CImg provides simple classes and functions to load, save, process and display images in your own C++ code.
CImg consists only of a single header file, CImg.h, that must be included in your C++ program source.
The package contains useful image processing algorithms for image loading/saving, displaying, resizing/rotating, filtering, object drawing (text, lines, faces, curves, ellipses, 3D objects) etc.
The main image class can represent images up to 4-dimension wide (x,y,z,v) (from 1-D scalar signals to 3-D multi-channel volumes), with template pixel types.
CImg depends on a minimal number of libraries – you can only compile it with standard C++ libraries.
Additional features become available with the use of ImageMagick, libpng, libjpeg or XMedCon. Install the XMedCon package to be able to read DICOM medical image files.
CImg stands for «Cool Image» and is designed to be easy-to-use and efficient.

To install:

1 – Install CMake from the official website:
2 – Follow the installation instructions for your system. A complete guide for the installation of CMake can be found here:
3 – Download the CImg repository ( and the example repository (
4 – Unpack the CImg directory. The final source directory should look like this: /CImg
5 – Unpack the CImg-Examples directory. The final source directory should look like this: /CImg-Examples
6 – Open CMake. On Windows you should use CMake with Visual Studio. On Linux and MacOSX you should use CMake with the command-line interface. To create a new project you should execute: cmake [options]
7 – Run the CMake script: cmake –build. –config Release
You can test the compilation by executing your binary from a terminal: cmake –build. –config Release
8 – Add CImg to your project. To do this, right-click on your project in the Solution Explorer window and select «Add New Reference». Then browse to the location of the CImg dll file (*.dll).
9 – Edit your project’s source code. Replace all #include by #include «

System Requirements For CImg:

OS: Windows XP/2000/Vista
Processor: Intel Pentium III/AMD Athlon XP (1.8GHz)
RAM: 256 MB
Video: DirectX 9 capable video card with a resolution of at least 1024×768 and 16 bit color
DirectX: Version 9.0c
Hard Drive: 4 GB
Sound Card: VIAO chipset 32-bit or compatible sound card with 5.1 output
Network: Active Internet connection
DirectX (12, 7, 8)

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