新一代视频编解码器对PNU影响的实验估计

Andrea Bruno, G. Cattaneo
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引用次数: 3

摘要

近年来,视频摄像机的分辨率大大提高,导致了新一代具有更高压缩率的编解码器,如H.265, VP9和AV1。然而,压缩会严重影响每帧中存在的噪声。其他编码器的特定功能,如H.265和AV1的帧内预测,可以消除像素非均匀性(PNU)噪声。我们实现了一个测试平台,以确定当视频以这些格式编码时,使用PNU是否仍然可以实现源摄像机识别。实验证明,与传统编解码器编码的视频相比,该算法的精度较低。然而,最原始的结果是我们设计的方法。为了避免隐藏的工件,源视频最初作为原始数据流从专用嵌入式系统获得,然后用开源YUV编码器记录。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An experimental estimate of the impact produced on PNU by new generation video codecs
The resolution of video cameras has increased considerably in recent years leading to a new generation of codecs with higher compression rates, such as H.265, VP9 and AV1. However, compression can heavily affect the noise present in each frame. Other encoder specific features, like the intra-frame prediction for H.265 and AV1, can flatten the pixel non-uniformity (PNU) noise. We implemented a test-bed to establish whether source camera identification can still be achieved using the PNU when videos are encoded in those formats. The experiments proved that the results are less accurate than those obtained from videos encoded with traditional codecs. Nevertheless, the most original result achieved was the methodology we designed. In order to avoid hidden artifacts the source videos were initially acquired as a raw data stream from a dedicated embedded system and then recorded with an open-source YUV encoder.
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