Analysis of BSDL-based content adaptation for JPEG 2000 and HD Photo (JPEG XR)

2008 ◽  
Author(s):  
W. De Neve ◽  
S. Yang ◽  
D. Van Deursen ◽  
C. Kim ◽  
Y.M. Ro ◽  
...  
Keyword(s):  
Content Adaptation ◽  
Jpeg 2000 ◽  
Jpeg Xr

Improved BSDL-based content adaptation for JPEG 2000 and HD Photo (JPEG XR)

2009 ◽  
Vol 24 (6) ◽  
pp. 452-467 ◽  
Author(s):  
Wesley De Neve ◽  
Davy Van Deursen ◽  
Wim Van Lancker ◽  
Yong Man Ro ◽  
Rik Van de Walle
Keyword(s):  
Content Adaptation ◽  
Jpeg 2000 ◽  
Jpeg Xr

Image coding design considerations for cascaded encoding-decoding cycles and image editing: analysis of JPEG 1, JPEG 2000, and JPEG XR / HD Photo

2008 ◽  
Author(s):  
Gary J. Sullivan ◽  
Shijun Sun ◽  
Shankar Regunathan ◽  
Daniel Schonberg ◽  
Chengjie Tu ◽  
...  
Keyword(s):  
Image Coding ◽  
Image Editing ◽  
Jpeg 2000 ◽  
Design Considerations ◽  
Jpeg Xr

Perceptual quality assessment of JPEG, JPEG 2000, and JPEG XR

2010 ◽  
Author(s):  
T. Bruylants ◽  
J. Barbarien ◽  
A. Munteanu ◽  
P. Schelkens
Keyword(s):  
Quality Assessment ◽  
Perceptual Quality ◽  
Jpeg 2000 ◽  
Jpeg Xr

scholarly journals Reversible denoising and lifting based color component transformation for lossless image compression

2019 ◽  
Vol 79 (17-18) ◽  
pp. 11269-11294 ◽  
Author(s):  
Roman Starosolski
Keyword(s):  
Color Space ◽  
Optical Resolution ◽  
Standard Test ◽  
Jpeg 2000 ◽  
Characteristic Model ◽  
Model Driven ◽  
Space Transformation ◽  
Color Space Transformation ◽  
Jpeg Xr ◽  
Image Component

Abstract An undesirable side effect of reversible color space transformation, which consists of lifting steps (LSs), is that while removing correlation it contaminates transformed components with noise from other components. Noise affects particularly adversely the compression ratios of lossless compression algorithms. To remove correlation without increasing noise, a reversible denoising and lifting step (RDLS) was proposed that integrates denoising filters into LS. Applying RDLS to color space transformation results in a new image component transformation that is perfectly reversible despite involving the inherently irreversible denoising; the first application of such a transformation is presented in this paper. For the JPEG-LS, JPEG 2000, and JPEG XR standard algorithms in lossless mode, the application of RDLS to the RDgDb color space transformation with simple denoising filters is especially effective for images in the native optical resolution of acquisition devices. It results in improving compression ratios of all those images in cases when unmodified color space transformation either improves or worsens ratios compared with the untransformed image. The average improvement is 5.0–6.0% for two out of the three sets of such images, whereas average ratios of images from standard test-sets are improved by up to 2.2%. For the efficient image-adaptive determination of filters for RDLS, a couple of fast entropy-based estimators of compression effects that may be used independently of the actual compression algorithm are investigated and an immediate filter selection method based on the detector precision characteristic model driven by image acquisition parameters is introduced.

Objective and subjective quality assessment between JPEG XR with overlap and JPEG 2000

2012 ◽  
Vol 23 (6) ◽  
pp. 835-844 ◽  
Author(s):  
Federico Fiorucci ◽  
Giuseppe Baruffa ◽  
Fabrizio Frescura
Keyword(s):  
Quality Assessment ◽  
Subjective Quality ◽  
Jpeg 2000 ◽  
Subjective Quality Assessment ◽  
Jpeg Xr

Performance Comparison of Jpeg, Jpeg XT, Jpeg LS, Jpeg 2000, Jpeg XR, HEVC, EVC and VVC for Images

2021 ◽  
Author(s):  
S. Naveen Kumar ◽  
M. V. Vamshi Bharadwaj ◽  
Shreyanka Subbarayappa
Keyword(s):  
Performance Comparison ◽  
Jpeg 2000 ◽  
Jpeg Xr

Better Scheme for Multimedia Compression using Random Discrete Fractional Fourier Transform for Jpeg 2000 Standard

2015 ◽  
Vol 2 (1) ◽  
pp. 28-35
Author(s):  
Deepak Sharma ◽  
◽  
Udita Arora ◽  
Prakram Suri ◽  
Rishabh Tripathi ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Fractional Fourier Transform ◽  
Jpeg 2000 ◽  
Discrete Fractional Fourier Transform ◽  
Multimedia Compression
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