Enhancement of Color Images By E-cient Demosaicing
Liron D. Grossmann, Yonina C. Eldar · 2004
We propose an e‐cient method for reconstructing a full-color image from its partially sampled version. The suggested algorithm is non-iterative and is based on the properties of the human visual system. While most state-of-the-art algorithms invest a great deal of computational efiort in the enhancement of the reconstructed image to overcome the color artifacts, we focus on eliminating most of the color artifacts in the initial stages of the algorithm. This approach enables us to correct a speciflc kind of color artifact, caused by the aliasing involved in the sampling process. Our correction method is based on the relatively low sensitivity of the human eye to high transitions of the hue component of a color image. We tested our algorithm on several problematic images and found it to often be signiflcantly superior to state-of-the-art algorithms, without consuming high computational power.