IEEE Trans Image Process - Image coding using depth blurring for aesthetically acceptable distortion.

Tópicos

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Resumo

We introduce the concept of depth-based blurring to achieve an aesthetically acceptable distortion when reducing the bitrate in image coding. The proposed depth-based blurring is a prefiltering that reduces high-frequency components by mimicking the limited depth of field effect that occurs in cameras. To cope with the challenge of avoiding intensity leakage at the boundaries of objects when blurring at different depth levels, we introduce a selective blurring algorithm that simulates occlusion effects as occur in natural blurring. The proposed algorithm can handle any number of blurring and occlusion levels. Subjective experiments show that the proposed algorithm outperforms foveation filtering, which is the dominant approach for bitrate reduction by space-variant prefiltering.

Resumo Limpo

introduc concept depthbas blur achiev aesthet accept distort reduc bitrat imag code propos depthbas blur prefilt reduc highfrequ compon mimick limit depth field effect occur camera cope challeng avoid intens leakag boundari object blur differ depth level introduc select blur algorithm simul occlus effect occur natur blur propos algorithm can handl number blur occlus level subject experi show propos algorithm outperform foveat filter domin approach bitrat reduct spacevari prefilt

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