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In this paper, tone mapping operations based on the nonlinear successive Mean Quantization Transform (SMQT) are proposed in order to convert high dynamic range images to low dynamic range images. A SMQTbased tone mapping applied on the luminance channel is derived as well as a SMQT-based method working directly on all RGB channels. Both methods are compared to other state-of-the-art methods and produce visually similar results. The processing speeds of the SMQT-based methods are discussed and found to be some of the fastest reported on a single CPU. Furthermore, additional improvement regarding the processing speed and its impact on image quality is investigated

SMQT-based Tone Mapping Operators for High Dynamic Range Images