Human Visual System plays an important factor in image processing.
However, based on geometric optics, we found the eye is not a
perfect optical system; its “Region of Sharp Area” is very small.
Therefore, it would be wasteful to design a system with perfect image render of which the eye could not utilize.
Based on this result, we introduce three kinds of applications.
First, we investigated a “Region Of Sharp Area” render, with this scheme,
we have successfully speeded up the 3D scenes generation. Secondly, we
proposed a “Multiple Resolution Image Compression” algorithm,
with this method, we have successfully improved the image compression ratio.
Thirdly, we develop a fast image resizing scheme that produces
significantly improved quality over the pixel replication method.
This algorithm is suitable for real-time image resizing applications
including: Virtual Reality, Optical Character Recognition, Symbol Recognition, and Car License Plate Recognition. Although this method produced “jaggies” at the edges in the resized image, the execution time is about 22 to 40 times fast than the Windows and the Weiman scheme, respectively. This scheme doesn''t use floating-point operations and buffer area, so, it is suitable for image viewer based on embedded system, such as Portable Digital Assistant.