Color filter array demosaicking using wavelet-based subband synthesis
Li Chen, Kim–Hui Yap, Yu He · 2005
In this paper, we present a new and efficient demosaicking algorithm for color filter array (CFA). To render a full-resolution color image using a single-chip camera, the missing color information must be estimated from the surrounding pixels. We take advantage of the observation that the color image has strong inter-channel correlation in the high-frequency subbands. For each color channel, the missing colors are synthesized from the wavelet subbands. The low-frequency subband is estimated by conventional interpolation techniques using intra-channel data. The high-frequency subbands are estimated from the inter-channel data with consideration of the CFA pattern. The algorithm is adaptive in nature and produce superior full-resolution image when compared to other demosaicking techniques.