A bracket classified coding scheme for image compression

2002 ◽  
Author(s):  
C.C. Lin ◽  
D.J. Pease
Keyword(s):  
Image Compression ◽  
Coding Scheme

Image Compression using Huffman Coding Scheme with Partial/Piecewise Color Selection

2021 ◽  
Author(s):  
A.H.M. Zadidul Karim ◽  
Md. Sazal Miah ◽  
Md Abdullah Al Mahmud ◽  
Muhammad Towhidur Rahman
Keyword(s):  
Image Compression ◽  
Huffman Coding ◽  
Color Selection ◽  
Coding Scheme

Fractal-Based Secured Multiple-Image Compression and Distribution

2011 ◽  
pp. 515-532
Author(s):  
Hsuan T. Chang ◽  
Chih-Chung Hsu
Keyword(s):  
Image Compression ◽  
Image Similarity ◽  
Multiple Images ◽  
Image Distribution ◽  
Coding Scheme ◽  
Multiple Image ◽  
Image Compression And Encryption ◽  
Novel Design

This chapter introduces a pioneer concept in which multiple images are simultaneously considered in the compression and secured distribution frameworks. We have proposed the so-called fractal mating coding scheme to successfully implement the joint image compression and encryption concept through a novel design in the domain pool construction. With the exploration of the intra- and inter-image similarity among multiple images, not only the coding performance can be improved, but also the secured image distribution purpose can be achieved. The authors hope that the revealed fractal-based ideas in this chapter will provide a different perspective for the image compression and distribution framework.

scholarly journals 3D Medical image compression using the quincunx wavelet coupled with SPIHT

2020 ◽  
Vol 18 (2) ◽  
pp. 821
Author(s):  
Benlabbes Haouari
Keyword(s):  
Wavelet Transform ◽  
Medical Imaging ◽  
Image Compression ◽  
Medical Image ◽  
Medical Images ◽  
Digital Technologies ◽  
Visual Quality ◽  
Medical Image Compression ◽  
Coding Scheme

<p>Medical imaging is a growing field due to the development of digital technologies that produce 3D and even 4D data. The counterpart to the resolution offered by these voluminal images resides in the amount of gigantic data, hence the need for compression. This article presents a new coding scheme dedicated to 3D medical images. The originality of our approach lies in the application of the Quinqunx wavelet transform coupled with the SPIHT encoder on a database of medical images. This approach achieves much higher compression rates, while maintaining a very acceptable visual quality.</p>

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