The Letter introduces a novel filtering method based on convolutional neural networks (CNNs) for quality enhancement of light field (LF) images captured by a plenoptic camera and compressed using high‐efficiency video coding (HEVC). The method takes advantage of the macro‐pixel (MP) structure specific to the LF images and proposes a novel MP‐wise filtering approach based on a novel deep neural network architecture. The proposed CNN‐based method achieves an outstanding performance when HEVC is employed without its in‐loop filters. Experimental results show high luminance‐peak signal‐to‐noise ratio (Y‐PSNR) gains and average Y‐Bjøntegaard delta (BD)‐rate savings of 25.6normal% over HEVC on a large data set.
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