Abstract
Recent advances in the computer technology has enabled many theoretical ideas in computer vision to become practical also within camera technology. Light field technology aims at replacing the traditional camera design by acquiring the intensity of light rays to realize advanced applications in media and medical industries. The abundant amount of information poses high processing, transmission and storage requirements. Therefore, a need for efficient compression has gained researchers attention in this area. We present EPIC, an efficient lossless compression scheme for light field images which extends CALIC by exploiting light field structure. We have shown that the proposed scheme achieves around 6% improvement in compression performance relative to HEVC-lossless anchor with a significant reduction in the encoding time. We have also extended the proposed method for the near-lossless case which achieves similar rate-distortion performance as HEVC-lossy anchor in addition to a high encoding efficiency and a guaranteed-error bound.
Highlights
A light field (LF) is a set of intensities of the light rays emanating from a scene and captured by a LF camera
We present a list of modifications in the continuous mode of CALIC (Fig. 2) to achieve enhanced compression performance with the LF images while keeping the computational complexity at a minimum
We propose an Epipolar Plane Images (EPI)-based predictor (EPIP) to replace CALIC’s predictor for improved intensity prediction by slightly increasing the complexity, which takes into consideration the EPI structure by estimating the slope of the EPI line2 passing through X followed by intensity prediction using a quadratic interpolator based on the estimated slope
Summary
A light field (LF) is a set of intensities of the light rays emanating from a scene and captured by a LF camera This data can be used to render images with different optical settings such as focal lengths, aperture sizes and view-points. The lossless LF compression schemes in the literature offer decent compression ratios at the cost of hours of encoding time [6] and/or complex computation [7] For this reason, we have recently proposed an efficient lossless LF compression scheme, EPIC [8], which extends CALIC to exploit the LF structure for enhanced compression performance.
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