Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Display Technology
  • Vol. 12,
  • Issue 6,
  • pp. 549-556
  • (2016)

Multimode Image Compression Algorithm Employing Multiple-Choice Knapsack Problem-Based Encoding Mode Selection

Not Accessible

Your library or personal account may give you access

Abstract

In this paper, we first formulate the encoding mode selection of a multimode image compression algorithm, which adaptively determines the encoding mode to encode a patch of a given image as a multiple-choice knapsack problem (MCKP). Then, we present a multimode image compression algorithm that takes advantage of the MCKP-formulated mode selection problem and a memory-efficient implementation of the MCKP-based mode selection algorithm. To emphasize the effect of the MCKP-based mode selection, the proposed multimode image compression algorithm adopts encoding modes from conventional multimode image compression algorithms. In experiments using the Kodak test image set, the proposed algorithm outperformed benchmark algorithms by 2.6–7.8 dB in the average peak signal-to-noise ratio when the target compression ratio is 1/6.

© 2016 IEEE

PDF Article
More Like This
Block-compressed-sensing-based reconstruction algorithm for ghost imaging

Rong Zhu, Guang-shun Li, and Ying Guo
OSA Continuum 2(10) 2834-2843 (2019)

High-efficiency single-photon compressed sensing imaging based on the best choice scheme

Yanshan Fan, Miaoqing Bai, Shuxiao Wu, Zhixing Qiao, and Jianyong Hu
Opt. Express 31(5) 7589-7598 (2023)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved