{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:27:22Z","timestamp":1760243242625,"version":"build-2065373602"},"reference-count":15,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2014,12,17]],"date-time":"2014-12-17T00:00:00Z","timestamp":1418774400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>Differently from traditional two-dimensional texture images, the depth images of three-dimensional (3D) video systems have significant sparse characteristics under the certain transform basis, which make it possible for compressive sensing to represent depth information efficiently. Therefore, in this paper, a novel depth image coding scheme is proposed based on a block compressive sensing method. At the encoder, in view of the characteristics of depth images, the entropy of pixels in each block is employed to represent the sparsity of depth signals. Then according to the different sparsity in the pixel domain, the measurements can be adaptively allocated to each block for higher compression efficiency. At the decoder, the sparse transform can be combined to achieve the compressive sensing reconstruction. Experimental results have shown that at the same sampling rate, the proposed scheme can obtain higher PSNR values and better subjective quality of the rendered virtual views, compared with the method using a uniform sampling rate.<\/jats:p>","DOI":"10.3390\/e16126590","type":"journal-article","created":{"date-parts":[[2014,12,17]],"date-time":"2014-12-17T10:19:28Z","timestamp":1418811568000},"page":"6590-6601","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Depth Image Coding Using Entropy-Based Adaptive Measurement Allocation"],"prefix":"10.3390","volume":"16","author":[{"given":"Huihui","family":"Bai","sequence":"first","affiliation":[{"name":"Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengmeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Information Engineering, North China University of Technology, Beijing 100144, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meiqin","family":"Liu","sequence":"additional","affiliation":[{"name":"Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anhong","family":"Wang","sequence":"additional","affiliation":[{"name":"Electronic Information and Engineering College, Taiyuan University of Science and Technology, Taiyuan 030024, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yao","family":"Zhao","sequence":"additional","affiliation":[{"name":"Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2014,12,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"607","DOI":"10.1109\/JPROC.2010.2098350","article-title":"Three-dimensional video postproduction and processing","volume":"99","author":"Smolic","year":"2011","journal-title":"Proc. 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Adaptive compressed sensing for depthmap compression using graph-based transform, Orlando, FL, USA."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Ekmekcioglu, E., Worrall, S.T., and Kondoz, A.M. (2008, January 28\u201330). Bit-rate adaptive downsampling for the coding of multi-view video with depth information, Istanbul, Turkey.","DOI":"10.1109\/3DTV.2008.4547827"},{"key":"ref_14","unstructured":"Available online: http:\/\/dsp.rice.edu\/cs."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1002\/j.1538-7305.1948.tb01338.x","article-title":"A mathematical theory of communication","volume":"27","author":"Shannon","year":"1948","journal-title":"Bell Syst. Tech. 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