Method for compression of optical field image based on adaptive prediction of macro-pixel blocks

Abstract

The invention discloses a method for compression of an optical field image based on adaptive prediction of macro-pixel blocks. The method comprises the following steps of inputting an original optical field image f(x, y) and processing the macro-pixel blocks in the original optical field image f(x, y) to obtain a regularized optical field image L(x, y); inputting the regularized optical field image L(x, y) into a video encoder, and selecting a predicted reference block Bi in a neighborhood according to the position and the size of a current coding block B0; obtaining a predicted value B'0 of the current coding block B0 through a linear weighted array prediction method and a single direct prediction method based on the current coding block B0 and the predicted reference block Bi respectively; and selecting the optimal coding prediction method to carry out compression on the optical field image. The method fully utilizes the arrangement characteristics of the macro-pixel blocks to realize accurate prediction of the current coding block, so that the redundant information in an airspace is effectively reduced, and thus the coding efficiency is effectively improved.

Description

technical field [0001] The invention relates to the fields of computer vision and digital image processing, in particular to a light field image compression method based on macro pixel block adaptive prediction. Background technique [0002] The hand-held light field camera can simultaneously record the position information and direction information of light under one exposure time, and the obtained light field data can be applied to many computer vision fields such as 3D stereoscopic display, saliency inspection, and depth estimation, showing extremely strong The application prospect has aroused widespread attention from people including academia. The light field image captured by the light field camera not only records the light angle and position information, but also has ultra-high resolution and special pixel distribution, which brings great challenges to data storage and transmission, and restricts the light field camera. development and application. Therefore, findi...

AI Technical Summary

Problems solved by technology

Among them, the image-based direct compression method uses the existing image or video encoder to directly compress the light field image, and introduces coding tools such as vector intra prediction and parallax compensation, which inevitably introduce block artifacts At the same time, the similarity relationship between the macropixels in the light field image has not been effectively utilized; while the indirect compression method based on the pseudo video sequence refers to extracting a series of sub-aperture images from the original light field data and generating pseudo Video sequence, using the existing video encoder to compress the video sequence, although this scheme improves the coding efficiency, but the computational complexity is also greatly increased

Both types of schemes have the following problems: due to the mismatch between the macro-pixel arrangement structure in the light field image and the block-based coding architecture of the encoder, existing coding tools cannot make full use of the correlation between macro-pixels, which limits the coding efficiency further improvement of

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