Next Article in Journal
A Minimum Rank Approach for Reduction of Environmental Noise in Near-Field Array Antenna Diagnosis
Next Article in Special Issue
Image Processing Using FPGAs
Previous Article in Journal
Evaluating Human Photoreceptoral Inputs from Night-Time Lights Using RGB Imaging Photometry
Previous Article in Special Issue
Zig-Zag Based Single-Pass Connected Components Analysis
Open AccessArticle

A JND-Based Pixel-Domain Algorithm and Hardware Architecture for Perceptual Image Coding

Institute of Parallel and Distributed Systems, University of Stuttgart, 70569 Stuttgart, Germany
*
Author to whom correspondence should be addressed.
J. Imaging 2019, 5(5), 50; https://doi.org/10.3390/jimaging5050050
Received: 29 March 2019 / Accepted: 16 April 2019 / Published: 26 April 2019
(This article belongs to the Special Issue Image Processing Using FPGAs)
This paper presents a hardware efficient pixel-domain just-noticeable difference (JND) model and its hardware architecture implemented on an FPGA. This JND model architecture is further proposed to be part of a low complexity pixel-domain perceptual image coding architecture, which is based on downsampling and predictive coding. The downsampling is performed adaptively on the input image based on regions-of-interest (ROIs) identified by measuring the downsampling distortions against the visibility thresholds given by the JND model. The coding error at any pixel location can be guaranteed to be within the corresponding JND threshold in order to obtain excellent visual quality. Experimental results show the improved accuracy of the proposed JND model in estimating visual redundancies compared with classic JND models published earlier. Compression experiments demonstrate improved rate-distortion performance and visual quality over JPEG-LS as well as reduced compressed bit rates compared with other standard codecs such as JPEG 2000 at the same peak signal-to-perceptible-noise ratio (PSPNR). FPGA synthesis results targeting a mid-range device show very moderate hardware resource requirements and over 100 Megapixel/s throughput of both the JND model and the perceptual encoder. View Full-Text
Keywords: just-noticeable difference (JND); luminance masking; contrast masking; texture detection; perceptual coding; JPEG-LS; downsampling; FPGA just-noticeable difference (JND); luminance masking; contrast masking; texture detection; perceptual coding; JPEG-LS; downsampling; FPGA
Show Figures

Figure 1

MDPI and ACS Style

Wang, Z.; Tran, T.-H.; Muthappa, P.K.; Simon, S. A JND-Based Pixel-Domain Algorithm and Hardware Architecture for Perceptual Image Coding. J. Imaging 2019, 5, 50.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop