Accelerating BPC-PaCo through Visually Lossless Techniques

Fast image codecs are a current need in applications that deal with large amounts of images. Graphics Processing Units (GPUs) are suitable processors to speed up most kinds of algorithms, especially when they allow fine-grain parallelism. Bitplane Coding with Parallel Coefficient processing (BPC-PaC...

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Bibliographic Details
Published in:	Journal of visual communication and image representation Vol. 89; p. 103672
Main Authors:	Aulí-Llinàs, Francesc, de Cea-Dominguez, Carlos, Hernández-Cabronero, Miguel
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.11.2022
Subjects:	High-throughput image coding JPEG2000 Visually lossless coding JPEG2000 Visually lossless coding High-throughput image coding
ISSN:	1047-3203, 1095-9076
Online Access:	Get full text
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Summary:	Fast image codecs are a current need in applications that deal with large amounts of images. Graphics Processing Units (GPUs) are suitable processors to speed up most kinds of algorithms, especially when they allow fine-grain parallelism. Bitplane Coding with Parallel Coefficient processing (BPC-PaCo) is a recently proposed algorithm for the core stage of wavelet-based image codecs tailored for the highly parallel architectures of GPUs. This algorithm provides complexity scalability to allow faster execution at the expense of coding efficiency. Its main drawback is that the speedup and loss in image quality is controlled only roughly, resulting in visible distortion at low and medium rates. This paper addresses this issue by integrating techniques of visually lossless coding into BPC-PaCo. The resulting method minimizes the visual distortion introduced in the compressed file, obtaining higher-quality images to a human observer. Experimental results also indicate 12% speedups with respect to BPC-PaCo.
ISSN:	1047-3203 1095-9076
DOI:	10.1016/j.jvcir.2022.103672