LF-CAE: Context-Adaptive Encoding for Lenslet Light Fields Using HEVC

Autor: Bruno Zatt, Ruhan Conceicao, Marcelo Porto, Luciano Agostini
Rok vydání: 2018
Předmět:
Zdroj: ICIP
Popis: Light fields can outperform the representability of current imaging technologies by considering the angle of light-rays striking in the camera in addition to the color information. The additional information brings a set of challenges related to the amount of data required to represent light fields, arising the need for efficient compression schemes. Thiswork proposes a novel and efficient scheme to encode lenslet light fields, called Light Fields Context-Adaptive Encoding(LF-CAE). LF -CAE is a video-based compression solution that defines a flexible and dynamic scheme to create intermediate video sequences from light fields in order to efficiently exploit the HEVC inter-frame encoder structure. This scheme reduces the inter-frame prediction residue leading to compression efficiency gains in light-field coding. LF -CAE reaches an average compression rate of 99.56% in relation to the uncompressed light field, with an average PSNR of 37.61dB. LF-CAE surpasses all related works that decompose the light field into an intermediate video sequence, reaching thehighest PSNR and with BD-Rate gains ranging from 6.07% up to 20.50%.
Databáze: OpenAIRE