On the coding of plenoptic raw images

Plenoptic images are obtained from cameras with internal microlens arrays. Nearby pixels in a plenoptic image are representing the real world from different spatial and angular position and the general assumption of spatial correlation exploited for the development of former image coding algorithms loses most of its foundations. In this work, the problem of coding plenoptic images is analyzed in order to better understand the compromise between raw signal quantization and quality loss. Moreover, some image coding standards have been analyzed as tools for the compression of raw plenoptic images. Results have been measured both in terms of PSNR and SSIM of final reconstructed images.