scholarly journals A Novel Algorithm for Bi-Level Image Coding and Lossless Compression based on Virtual Ant Colonies

2018 ◽  
Author(s):  
Matthew Mouring ◽  
Khaldoon Dhou ◽  
Mirsad Hadzikadic
Keyword(s):  
Image Coding ◽  
Lossless Compression ◽  
Ant Colonies ◽  
Novel Algorithm

scholarly journals A Reversible Data Hiding Method in Encrypted Images for Controlling Trade-Off between Hiding Capacity and Compression Efficiency

2021 ◽  
Vol 7 (12) ◽  
pp. 268
Author(s):  
Ryota Motomura ◽  
Shoko Imaizumi ◽  
Hitoshi Kiya
Keyword(s):  
Data Hiding ◽  
Image Coding ◽  
Reversible Data Hiding ◽  
Data Extraction ◽  
Lossless Compression ◽  
The Other ◽  
Compression Efficiency ◽  
Hiding Capacity ◽  
Encrypted Images ◽  
New Framework

In this paper, we propose a new framework for reversible data hiding in encrypted images, where both the hiding capacity and lossless compression efficiency are flexibly controlled. There exist two main purposes; one is to provide highly efficient lossless compression under a required hiding capacity, while the other is to enable us to extract an embedded payload from a decrypted image. The proposed method can decrypt marked encrypted images without data extraction and derive marked images. An original image is arbitrarily divided into two regions. Two different methods for reversible data hiding in encrypted images (RDH-EI) are used in our method, and each one is used for either region. Consequently, one region can be decrypted without data extraction and also losslessly compressed using image coding standards even after the processing. The other region possesses a significantly high hiding rate, around 1 bpp. Experimental results show the effectiveness of the proposed method in terms of hiding capacity and lossless compression efficiency.

scholarly journals Optimal Compression of High Spectral Resolution Satellite Data via Adaptive Vector Quantization with Linear Prediction

2008 ◽  
Vol 25 (6) ◽  
pp. 1041-1047 ◽  
Author(s):  
Bormin Huang ◽  
Alok Ahuja ◽  
Hung-Lung Huang
Keyword(s):  
Data Compression ◽  
Vector Quantization ◽  
Satellite Data ◽  
Spectral Resolution ◽  
Image Coding ◽  
Linear Prediction ◽  
Lossless Compression ◽  
High Spectral Resolution ◽  
Adaptive Vector Quantization ◽  
Space Data

Abstract Contemporary and future high spectral resolution sounders represent a significant technical advancement for environmental and meteorological prediction and monitoring. Given their large volume of spectral observations, the use of robust data compression techniques will be beneficial to data transmission and storage. In this paper, a novel adaptive vector quantization (VQ)-based linear prediction (AVQLP) method for lossless compression of high spectral resolution sounder data is proposed. The AVQLP method optimally adjusts the quantization codebook sizes to yield the maximum compression on prediction residuals and side information. The method outperforms the state-of-the-art compression methods [Joint Photographic Experts Group (JPEG)-LS, JPEG2000 Parts 1 and 2, Consultative Committee for Space Data Systems (CCSDS) Image Data Compression (IDC) 5/3, Context-Based Adaptive Lossless Image Coding (CALIC), and 3D Set Partitioning in Hierarchical Trees (SPIHT)] and achieves a new high in lossless compression for the standard test set of 10 NASA Atmospheric Infrared Sounder (AIRS) granules. It also compares favorably in terms of computational efficiency and compression gain to recently reported adaptive clustering methods for lossless compression of high spectral resolution data. Given its superior compression performance, the AVQLP method is well suited to ground operation of high spectral resolution satellite data compression for rebroadcast and archiving purposes.

DC coefficient restoration in transform image coding

1984 ◽  
Vol 131 (7) ◽  
pp. 709 ◽  
Author(s):  
W.K. Cham ◽  
R.J. Clarke
Keyword(s):  
Image Coding ◽  
Dc Coefficient

Developing an Inkjet Printer I: RGB Image to CMY Ink Amounts - Image Processing and Color Management

2020 ◽  
Vol 2020 (15) ◽  
pp. 350-1-350-10
Author(s):  
Yin Wang ◽  
Baekdu Choi ◽  
Davi He ◽  
Zillion Lin ◽  
George Chiu ◽  
...  
Keyword(s):  
Image Processing ◽  
Low Cost ◽  
Experimental Results ◽  
Color Management ◽  
Finger Nail ◽  
Inkjet Printer ◽  
Rgb Image ◽  
Novel Algorithm

In this paper, we will introduce a novel low-cost, small size, portable nail printer. The usage of this system is to print any desired pattern on a finger nail in just a few minutes. The detailed pre-processing procedures will be described in this paper. These include image processing to find the correct printing zone, and color management to match the patterns’ color. In each phase, a novel algorithm will be introduced to refine the result. The paper will state the mathematical principles behind each phase, and show the experimental results, which illustrate the algorithms’ capabilities to handle the task.

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