IDT, Silicon Optix or GEO Semiconductor), or in stand-alone Video Signal Processors (i.e. Signal Processing based image geometry correction is implemented by specially designed hardware in the projection system (i.e. Special care must be taken in the design of the scaling filter to ensure that spatial frequencies remain balanced in all areas of the image, and that the Nyquist criterion is met in all areas of the image. The scaling operation is performed with different scaling ratios in different parts of the image, according to the defined transformation. In Signal Processing based image geometry correction, the spatial transformation consists of spatially defined 2-dimensional image re-sampling or scaling filter. Its major drawback is that it is tied to the graphics controller platform, and cannot process signals that originate outside the graphics controller. Graphics Processing based image geometry correction is very effective for content that originates in the PC. Mersive Technologies and Scalable Display Technologies).
#Edge blending processor software#
The sophisticated software that uses the texture mapping hardware of a graphics controller is not standard, and is available only through vendors of specialty software (i.e. Graphics Processing based Image Geometry Correction, may be performed with inexpensive PC-based graphics controllers. Each polygon on the input image is thus applied to an equivalent (but transformed in shape and location) polygon in the output image. The transformation is executed by texture mapping from the rectilinear mesh of the input image to the transformed shape of the destination image. In Graphics Processing, the spatial transformation consists of a polygon mesh (usually triangles). The spatial transformation must be pre-defined for a particular desired geometric, and may be calculated by several different methods (more to follow).
Image geometry correction is generally implemented in 2 different ways:īoth techniques involve the real time execution of a spatial transformation from the input image to the output image, and both techniques require powerful hardware.