Layered compression for high dynamic range depth

Dan Miao, Jingjing Fu, Yan Lu, Shipeng Li, Chang Wen Chen
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引用次数: 1

Abstract

With the rapid development of depth data acquisition technology, the high precision depth becomes much easier to access in real-time by depth sensors, and the generated high dynamic range (HDR) depth is widely adopted to benefit the depth assistant applications. Accordingly, the HDR depth compression becomes essential for the efficient depth storage and transmission. In this paper, we introduce a layered compression framework for HDR depth to achieve efficient and low-complexity depth compression. To leverage the state-of-art 8-bit image/video encoders, the HDR depth is partitioned into two layers: most significant bit (MSB) layer and least significant bit (LSB) layer. For MSB layer, an error controllable pixel domain encoding scheme is proposed to guarantee the compatibility for existing 8-bit codec by controlling quantization errors added back to LSB layer. Meanwhile, the efficient major color extraction and adaptive quantization enhance the coding performance of MSB layer. For LSB layer, the layer data with limited dynamic range is compressed by normal 8-bit image/video based encoding scheme. The experimental results demonstrate that our coding scheme can achieve real-time depth compression with the satisfactory reconstruction quality. The encoding time is less than 31ms/frame and the decoding time is around 20ms/frame in average. Our compression scheme can be easily integrated into the real-time depth transmission system.
分层压缩的高动态范围深度
随着深度数据采集技术的快速发展,深度传感器实时获取高精度深度变得越来越容易,生成的高动态范围(HDR)深度被广泛采用,有利于深度辅助应用。因此,HDR深度压缩技术对于实现高效的深度存储和传输至关重要。为了实现高效、低复杂度的深度压缩,本文引入了HDR深度的分层压缩框架。为了利用最先进的8位图像/视频编码器,HDR深度被划分为两层:最高有效位(MSB)层和最低有效位(LSB)层。针对MSB层,提出了一种误差可控的像素域编码方案,通过控制添加回LSB层的量化误差来保证对现有8位编解码器的兼容性。同时,有效的主色提取和自适应量化提高了MSB层的编码性能。对于LSB层,采用常规的8位图像/视频编码方案对动态范围有限的层数据进行压缩。实验结果表明,该编码方案能够实现实时深度压缩,并具有满意的重构质量。编码时间小于31ms/帧,解码时间平均在20ms/帧左右。我们的压缩方案可以很容易地集成到实时深度传输系统中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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