In computer science, digital image processing is the use of computer algorithms to perform image processing on digital images. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and signal distortion during processing. Since images are defined over two dimensions (perhaps more) digital image processing may be modeled in the form of multidimensional systems.
Ref: https://en.wikipedia.org/wiki/Digital_image_processing
It depends on your problem, research lab facilities, co-researcher and supervisor. However, you can use MATLAB, OpenCV+IPL+Visual C++, OpenCV+IPL+Python, OpenGL+IPL+Visual C++, OpenGL+IPL+Python.
Dear H. Naderpour,
Look the link, maybe useful.
https://www.webfx.com/blog/web-design/five-best-image-editing-software/
https://www.pcmag.com/article2/0,2817,2369237,00.asp
Regards, Shafagat
I don't think there is a "best" software.
MATLAB and OpenCV (plus either C++ or Python for the necessary framework) are considered reasonable "universal" packages. But - depending on your specific goal - there is a vast number of image processing libraries (to be used with some programming language framework) that might excel on some specific applications. So, starting with MATLAB or OpenCV (mainly depending on your budget available) should be ok - eventually migrating at some point to a more specific package.
OpenCV library for C++/Python implementations and its wrapper called EmguCV for C# applications are the best choices due to robust performance. Digital image processing is the application of computer programs and algorithms to process digital images. The (Advances, Tools and Techniques of Digital Image Processing) book Published by willford press, can be very useful in the subject matter.
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