title: Reversing demosaicking and compression in color filter array image processing: performance analysis and modeling.
abstract: In the conventional processing chain of single-sensor digital still cameras (DSCs), the images are captured with color filter arrays (CFAs) and the CFA samples are demosaicked into a full color image before compression. To avoid additional data redundancy created by the demosaicking process, an alternative processing chain has been proposed to move the compression process before the demosaicking. Recent empirical studies have shown that the alternative chain can outperform the conventional one in terms of image quality at low compression ratios. To provide a theoretically sound basis for such conclusion, we propose analytical models for the reconstruction errors of the two processing chains. The models developed confirm the results of existing empirical studies and provide better understanding of DSC processing chains. The modeling also allows performance predictions for more advanced compression and demosaicking methods, thus providing important cues for future development in this area.
authors.affiliation: Media Tech Lab, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. pg03806980@ntu.edu.sg
authors.forename: Nai-Xiang
authors.initials: NX
authors.lastname: Lian
authors.forename: Lanlan
authors.initials: L
authors.lastname: Chang
authors.forename: Vitali
authors.initials: V
authors.lastname: Zagorodnov
authors.forename: Yap-Peng
authors.initials: YP
authors.lastname: Tan
mesh_terms: D000465:Algorithms; D003116:Color; D003124:Colorimetry / Q000379:methods*; D003198:Computer Simulation; D044962:Data Compression / Q000379:methods*; D005374:Filtration / Q000379:methods; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D015233:Models, Statistical; D012815:Signal Processing, Computer-Assisted