Fast text/graphics resolution improvement using wavelet based denoising and chain-code table lookup

We propose a fast text/graphics resolution improvement algorithm with boundary parameterization and wavelet based denoising. Given input images containing labeled text/graphics objects, local boundary segments on each object are traced, parameterized, smoothed, and subsequently rerendered at the desired resolution. All of the critical operations are delegated to lookup tables, resulting in an algorithm that is fast, computationally inexpensive, with low memory requirements. A very flexible framework is proposed which can be utilized in a variety of text/graphics applications requiring resolution improvement.