幻觉
人工智能
计算机视觉
计算机科学
稳健性(进化)
图像处理
视错觉
核(代数)
亮度
直方图均衡化
对比度(视觉)
虚假关系
光学
数学
物理
图像(数学)
机器学习
组合数学
基因
生物
神经科学
生物化学
化学
作者
Prasoon Ambalathankandy,Takehiko Shimada,Takamaeda Shinya,Masato Motomura,Tetsuya Asai,Masayuki Ikebe
标识
DOI:10.1109/vcip.2018.8698619
摘要
To replicate human visual perception, we analyze processing images with optical illusion using edge preserving filters and smoothed local histogram equalization (LHE). Images with the optical illusions are good models for gradual/rapid changes in contrast and strong edges, which are good cases for assessing the robustness of image filters. Here, we study and analyze the performance of smoothed LHE filters while processing perceptual illusion. Our studies conclude that, smoothed LHEs are useful in retaining actual edge forms in these images as they can operate using large kernel sizes. These large kernel size filters can construct sawtooth like edge and it corresponds to adequately wide halos. We also demonstrate the usefulness of smoothed LHE like tone mapping techniques in preserving naturalness, and we confirmed it by performing subjective visual test.
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