Continuous wavelet transform of multiview images using wavelets based on voxel patterns

TL;DR

This paper introduces multiview wavelets based on voxel patterns for processing autostereoscopic multiview images, enabling accurate image restoration and modification for 3D display applications.

Contribution

It presents a novel wavelet transform approach tailored for multiview images using voxel pattern-based wavelets, with demonstrated image restoration and 3D display modifications.

Findings

Successful image reconstruction preserving multiview structure

Effective modification of parallax and depth in 3D images

Displayed images accurately reflect applied modifications

Abstract

We propose the multiview wavelets based on voxel patterns of autostereoscopic multiview displays. Direct and inverse continuous wavelet transforms of binary and gray-scale images were performed. The input to the inverse wavelet transform was the array of wavelet coefficients of the direct transform. A restored image reproduces the structure of the multiview image correctly. Also, we modified the dimension of the parallax and the depth of 3D images. The restored and modified images were displayed in 3D using lenticular plates. In each case, the visual 3D picture corresponds to the applied modifications. The results can be applied to the autostereoscopic 3D displays.