Patch-Based Holographic Image Sensing

Abstract

Holographic representations of data enable distributed storage with progressive refinement when the stored packets of data are made available in any arbitrary order. In this paper, we propose and test patch-based transform coding holographic sensing of image data. Our proposal is optimized for progressive recovery under random order of retrieval of the stored data. The coding of the image patches relies on the design of distributed projections ensuring best image recovery, in terms of the 2 norm, at each retrieval stage. The performance depends only on the number of data packets that have been retrieved thus far. Several possible options to enhance the quality of the recovery while changing the size and number of data packets are discussed and tested. This leads us to examine several interesting bit-allocation and rate-distortion trade-offs, highlighted for a set of natural images with ensemble estimated statistical properties.

Construction of Holographic Immersion Chamber Based on Multisource Information Fusion and Interactive Virtual Reality Technology

“…Holographic image technology is used to restore all the relevant information of the recorded object in the real physical space. The three-dimensional image presented by it has a real visual effect combined with the depth of field information of the physical environment [5,6]. In terms of the three-dimensional presentation effect of art, it subverts people's cognition of the traditional concept of "place"-implanting three-dimensional virtual images and creating a virtual immersive environment place, which greatly expands the expressiveness of visual art and deeply affects people's daily life.…”