Converseen is an image converter and resizer written in C++ with the powerful Qt4 libraries. Thanks to the Magick++ image libraries, it supports more than 100 image formats like DPX, EXR, GIF, JPEG, JPEG-2000, PhotoCD, PNG, Postscript, SVG, TIFF, and many others. Converseen allows you to convert, resize, rotate, and automatically flip an unlimited number of images. It can save you time because it can process more than one image with one mouse click. It features a very simple user interface without strange options.
Opticks is similar to commercial tools like ERDAS IMAGINE, RemoteView, ENVI, or SOCET GXP. Unlike other competing tools, you can add capability to Opticks by creating extensions. It supports the following file formats: NITF 2.0/2.1, GeoTIFF, ENVI, ASPAM/PAR, CGM, DTED, Generic RAW, ESRI Shapefile, HDF5, AVI, MPEG, JPEG, GIF, PNG, and BMP. It can zoom, pan, or rotate spatially large datasets. It can quickly layer GIS features, annotations, results, and other information over your data to provide context. It has many image display controls such as colormap, histogram, transparency, etc. Support for datasets larger than four gigabytes. Analysts can quickly combine steps using graphical wizards. Support for processing data in its native interleave of BIP, BSQ, or BIL. Extensions can add new processing algorithms, file formats, visualizations of the data, or data types.
Marvin is an extensible image processing framework for Java. It provides features to manipulate images, to manipulate captured video frames, and to process images with multi-threading. Its features can be extended via plug-ins. Plug-ins can be integrated with the graphical user interface, and their plug-in performance can be analyzed. Every image processing algorithm is developed as a plug-in that can be plugged into the MarvinEditor, an image manipulation program that uses plug-ins developed using Marvin, or into third-party applications. Currently there are 55 plug-ins available.
libCVD is a very portable and high performance C++ library for computer vision, image, and video processing. The emphasis is on providing simple and efficient image and video handling and high quality implementations of common low-level image processing function. The library is designed in a loosely-coupled manner, so that parts can be used easily in isolation if the whole library is not required. The video grabbing module provides a simple, uniform interface for videos from a variety of sources (live and recorded) and allows easy access to the raw pixel data. Likewise, the image loading/saving module provides simple, uniform interfaces for loading and saving images from bitmaps to 64 bit per channel RGBA images. The image processing routines can be applied easily to images and video, and accelerated versions exist for platforms supporting SSE.
FFTW++ is a C++ header class for the FFTW Fast Fourier Transform library that automates memory allocation, alignment, planning, and wisdom. In 2D and 3D, implicit dealiasing of convolutions substantially reduces memory usage and computation time. Wrappers for C, Python, and Fortran are included.
Thumbnailator is a thumbnail generation library with a fluent interface for Java. It simplifies the process of producing thumbnails from existing image files and image objects by providing an API which allows for fine tuning of thumbnail generation, while keeping the amount of code that needs to be written to a minimum.
Gerbil consists of an interactive visualization tool targeted at multispectral and hyperspectral image data, and a toolbox of common algorithms, e.g. for segmentation. Multispectral imaging has been gaining popularity and has been gradually applied to many fields besides remote sensing. However, due to the high dimensionality of the data, both human observers and computers have difficulty interpreting this wealth of information. Gerbil facilitates the visualization of the relationship between spectral and topological information in a novel fashion. It puts emphasis on the spectral gradient, which is shown to provide enhanced information for many reflectance analysis tasks. It also includes a rich toolbox for evaluation of image segmentation and other algorithms in the multispectral domain. The parallel coordinates visualization technique is combined with hashing for a highly interactive visual connection between spectral distribution, spectral gradient, and topology.