Enhancing 360-degree video using convolutional neural network (cnn)-based filter

An apparatus for enhancing video, the apparatus comprising:

• a decoder to decode a received 360-degree projection format video bitstream to generate a decoded 360-degree projection format video;
• a viewport generator to generate a viewport from the decoded 360-degree projection format video;
• a convolutional neural network (CNN)-based filter to remove an artifact from the viewport to generate an enhanced image;
• and
• a displayer to send the enhanced image to a display.

A method for enhancing video, the method comprising:

• receiving, via a processor, a 360-degree projection format video bitstream;
• decoding, via the processor, the 360-degree projection format video bitstream to generate a decoded 360-degree projection format video;
• generating, via the processor, a viewport from the decoded 360-degree projection format video;
• and
• removing, via the processor, an artifact from the generated viewport via a convolutional neural network (CNN)-based filter to generate an enhanced viewport.

At least one hard drive, optical drive, thumbdrive, array of drives, solid-state drive, random access memory (RAM), read only memory (ROM), flash memory, or dynamic random access memory (DRAM) comprising machine-readable instructions that, when executed, cause processor circuitry to at least:

• receive a 360-degree projection format video bitstream;
• decode the 360-degree projection format video bitstream to generate a decoded 360-degree projection format video;
• generate a viewport from the decoded 360-degree projection format video;
• and
• remove an artifact from the generated viewport via a convolutional neural network (CNN)-based filter to generate an enhanced viewport.