Performance evaluation of the emerging JPEG XT image compression standard

A. Pinheiro, K. Fliegel, Pavel Korshunov, Lukáš Krasula, Marco V. Bernardo, Maria Pereira, T. Ebrahimi
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引用次数: 25

Abstract

The upcoming JPEG XT is under development for High Dynamic Range (HDR) image compression. This standard encodes a Low Dynamic Range (LDR) version of the HDR image generated by a Tone-Mapping Operator (TMO) using the conventional JPEG coding as a base layer and encodes the extra HDR information in a residual layer. This paper studies the performance of the three profiles of JPEG XT (referred to as profiles A, B and C) using a test set of six HDR images. Four TMO techniques were used for the base layer image generation to assess the influence of the TMOs on the performance of JPEG XT profiles. Then, the HDR images were coded with different quality levels for the base layer and for the residual layer. The performance of each profile was evaluated using Signal to Noise Ratio (SNR), Feature SIMilarity Index (FSIM), Root Mean Square Error (RMSE), and CIEDE2000 color difference objective metrics. The evaluation results demonstrate that profiles A and B lead to similar saturation of quality at the higher bit rates, while profile C exhibits no saturation. Profiles B and C appear to be more dependent on TMOs used for the base layer compared to profile A.
新兴的JPEG XT图像压缩标准的性能评估
即将推出的JPEG XT正在开发中,用于高动态范围(HDR)图像压缩。该标准对色调映射算子(TMO)生成的HDR图像的低动态范围(LDR)版本进行编码,使用传统的JPEG编码作为基层,并在残差层中编码额外的HDR信息。本文以6张HDR图像为测试集,研究了JPEG XT三种配置文件(简称配置文件A、B、C)的性能。采用四种TMO技术生成底层图像,以评估TMO对JPEG XT配置文件性能的影响。然后,对HDR图像进行基层和残差层不同质量等级的编码。使用信噪比(SNR)、特征相似指数(FSIM)、均方根误差(RMSE)和CIEDE2000色差客观指标对每个剖面的性能进行评估。评价结果表明,在较高的比特率下,模式A和模式B导致了相似的质量饱和,而模式C则没有饱和。与配置文件A相比,配置文件B和C似乎更依赖于用于基础层的tmo。
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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