Key result
Novel 3000-image laparoscopic dataset reveals traditional atmospheric scattering models introduce significant residual color errors.
Why the study?
Development of algorithms to remove surgical smoke in laparoscopic surgery has been hindered by the lack of paired datasets with real smoky and smoke-free in vivo surgical scenes.
A novel paired dataset of in vivo laparoscopic images enables better evaluation and development of surgical de-smoking algorithms.
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Traditional models may leave residual laparoscopic de-smoking errors; this dataset leaves open refined algorithm validation.
Xia et al. (2025) studied Laparoscopic surgery (n=177). De-smoking algorithms was evaluated on Evaluation of de-smoking methods and atmospheric scattering model. A novel dataset of 3000 paired smoky and smoke-free laparoscopic images demonstrated that traditional atmospheric scattering models introduce significant residual errors in green and blue channels.
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