A Low Cost Algorithm for CFA Data Compression

Bruna, Arcangelo; Buemi, Antonio; Vella, Filippo; Vitali, Andrea

doi:10.1109/icce.2006.1598472

Cited by 2 publications

(1 citation statement)

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“…The structure separation method avoids the image distortion problem by downsampling the even column and odd column samples into separate arrays; however, it does not exploit the correlation between the two resulting arrays. Other lossy compression methods for CFA still images involve techniques such as sub-band coding [14], and vector quantization of groups of CFA pixels [15].…”

Section: H264-based Compression Of Bayermentioning

confidence: 99%

H.264-Based Compression of Bayer Pattern Video Sequences

Doutre

Nasiopoulos

Plataniotis

2008

IEEE Trans. Circuits Syst. Video Technol.

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Most consumer digital cameras use a single light sensor which captures color information using a color filter array (CFA). This produces a mosaic image, where each pixel location contains a sample of only one of three colors, either red, green or blue. The two missing colors at each pixel location must be interpolated from the surrounding samples in a process called demosaicking. The conventional approach to compressing video captured with these devices is to first perform demosaicking and then compress the resulting full-color video using standard methods. In this paper two methods for compressing CFA video prior to demosaicking are proposed. In our first method, the CFA video is directly compressed with the H.264 video coding standard in 4:2:2 sampling mode. Our second method uses a modified version of H.264, where motion compensation is altered to take advantage of the properties of CFA data. Simulations show both proposed methods give better compression efficiency than the demosaick-first approach at high bit rates, and thus are suitable for applications, such as digital camcorders, where high quality video is required. Index Terms-Bayer pattern, color demosaicking, H264/AVC, single-sensor digital video cameras, video coding. I. INTRODUCTION M OST commercial digital cameras use a single light sensor which is monochromatic in nature. In order to capture RGB color information, a color filter array (CFA) is used, which produces a mosaic image where each pixel location contains either a red, green or blue sample. The Bayer pattern CFA [1] is commonly used, which captures pixels in groups of four; each group containing two green, one red and one blue sample (Fig. 1). More green samples are captured than red or blue because the human visual system is more sensitive to the green portion of the light spectrum. Other CFA patterns are possible [2] but the Bayer pattern is considered here due to its commercial importance. In order to form a full color image or video from CFA data, the color data is interpolated in a process called demosaicking Manuscript

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Section: H264-based Compression Of Bayermentioning

confidence: 99%