#ifndef ICL_FILTER_H
#define ICL_FILTER_H
/** \defgroup UNARY Collection of Unary Operations
\defgroup BINARY Collection of Binary Operations
\defgroup AFFINE Collection of Affine Image Operations
\defgroup NBH Collection of Neighborhood Operations
\defgroup INPLACE Collection of Inplace Operations
\defgroup OTHER Other Classes
\mainpage ICLFilter package
\section OVERVIEW Overview
The ICLFilter package provides a large variety of image filtering classes. When talking about
image filters some misapprehensions can arise. To prevent this, the following section
will shortly introduce our understanding of image filters.
\image html filter-array-demo.png "The icl-filter-array demo application can be used to examine filter chains"
\section FILTERS What are Image-Filters
In a most general view on image filters, a filter is a black box that has N image inputs
and M image outputs. However this approach provides a very generic interface for image filters,
this interface is not very feasible. Most common filters (e.g. binary image operations, linear
filters or neighborhood operations) only need a single input and output image. Another larger group
are filters with two input and on output images (e.g. arithmetical/logical per-pixel image operations
or image comparison filters).\n
To avoid a large computational overhead arising of a too general interface, we support
two dedicated filtering interfaces for the above mentioned 1-1 and 2-1 input-output combinations. To
obviate further misunderstandings, we call this filter sets Unary Operations and
Binary-Operations - or short UnaryOp and BinaryOp. \n
Each of this sets is represented by a equal named C++-class-interface, which is inherited by all implemented
filters that have a corresponding input-output relation (from now on we use Ops(for operations).\n
For a better overview, the ICLFilter package is grouped into some modules:
-# \ref UNARY
-# \ref BINARY
-# \ref AFFINE
-# \ref NBH
-# \ref INPLACE
-# \ref OTHER
**/
#endif