JNCD-Based Perceptual Compression of RGB 4:4:4 Image Data

05/16/2020
by   Lee Prangnell, et al.
0

In contemporary lossy image coding applications, a desired aim is to decrease, as much as possible, bits per pixel without inducing perceptually conspicuous distortions in RGB image data. In this paper, we propose a novel color-based perceptual compression technique, named RGB-PAQ. RGB-PAQ is based on CIELAB Just Noticeable Color Difference (JNCD) and Human Visual System (HVS) spectral sensitivity. We utilize CIELAB JNCD and HVS spectral sensitivity modeling to separately adjust quantization levels at the Coding Block (CB) level. In essence, our method is designed to capitalize on the inability of the HVS to perceptually differentiate photons in very similar wavelength bands. In terms of application, the proposed technique can be used with RGB (4:4:4) image data of various bit depths and spatial resolutions including, for example, true color and deep color images in HD and Ultra HD resolutions. In the evaluations, we compare RGB-PAQ with a set of anchor methods; namely, HEVC, JPEG, JPEG 2000 and Google WebP. Compared with HEVC HM RExt, RGB-PAQ achieves up to 77.8 reductions. The subjective evaluations confirm that the compression artifacts induced by RGB-PAQ proved to be either imperceptible (MOS = 5) or near-imperceptible (MOS = 4) in the vast majority of cases.

READ FULL TEXT

page 1

page 3

page 4

research
05/16/2020

Spatiotemporal Adaptive Quantization for the Perceptual Video Coding of RGB 4:4:4 Data

Due to the spectral sensitivity phenomenon of the Human Visual System (H...
research
01/24/2022

Spectral-PQ: A Novel Spectral Sensitivity-Orientated Perceptual Compression Technique for RGB 4:4:4 Video Data

There exists an intrinsic relationship between the spectral sensitivity ...
research
06/07/2016

Adaptive Quantization Matrices for HD and UHD Display Resolutions in Scalable HEVC

HEVC contains an option to enable custom quantization matrices, which ar...
research
08/21/2017

Visually Lossless Coding in HEVC: A High Bit Depth and 4:4:4 Capable JND-Based Perceptual Quantisation Technique for HEVC

Due to the increasing prevalence of high bit depth and YCbCr 4:4:4 video...
research
11/06/2019

Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance

The success of image perturbations that are designed to fool image class...
research
01/10/2023

Adaptive and Scalable Compression of Multispectral Images using VVC

The VVC codec is applied to the task of multispectral image (MSI) compre...
research
01/08/2017

Automated Linear-Time Detection and Quality Assessment of Superpixels in Uncalibrated True- or False-Color RGB Images

Capable of automated near real time superpixel detection and quality ass...

Please sign up or login with your details

Forgot password? Click here to reset