Feature preserving lossy image compression using nonlinear PDEs

2002 ◽  
Author(s):  
T.F. Chan ◽  
H.M. Zhou
Keyword(s):  
Image Compression ◽  
Nonlinear Pdes ◽  
Feature Preserving

Feature Preserving Image Compression: A Survey

2006 ◽  
Author(s):  
Osslan Osiris Vergara Villegas ◽  
Raul Pinto Elias ◽  
Vianey Guadalupe Cruz Sanchez
Keyword(s):  
Image Compression ◽  
Feature Preserving

Feature preserving image compression

2003 ◽  
Vol 24 (15) ◽  
pp. 2767-2776 ◽  
Author(s):  
Kameswara Rao Namuduri ◽  
Veeru N Ramaswamy
Keyword(s):  
Image Compression ◽  
Feature Preserving

scholarly journals Spline-Based Dense Medial Descriptors for Lossy Image Compression

2021 ◽  
Vol 7 (8) ◽  
pp. 153
Author(s):  
Jieying Wang ◽  
Jiří Kosinka ◽  
Alexandru Telea
Keyword(s):  
Image Compression ◽  
Comprehensive Evaluation ◽  
Super Resolution ◽  
Salient Feature ◽  
Vector Representation ◽  
Smooth Curves ◽  
B Splines ◽  
Significant Interest ◽  
Feature Preserving ◽  
Image Simplification

Medial descriptors are of significant interest for image simplification, representation, manipulation, and compression. On the other hand, B-splines are well-known tools for specifying smooth curves in computer graphics and geometric design. In this paper, we integrate the two by modeling medial descriptors with stable and accurate B-splines for image compression. Representing medial descriptors with B-splines can not only greatly improve compression but is also an effective vector representation of raster images. A comprehensive evaluation shows that our Spline-based Dense Medial Descriptors (SDMD) method achieves much higher compression ratios at similar or even better quality to the well-known JPEG technique. We illustrate our approach with applications in generating super-resolution images and salient feature preserving image compression.

Image Compression Using Vector Quantization with Variable Block Size Division

2010 ◽  
Vol 130 (8) ◽  
pp. 1431-1439 ◽  
Author(s):  
Hiroki Matsumoto ◽  
Fumito Kichikawa ◽  
Kazuya Sasazaki ◽  
Junji Maeda ◽  
Yukinori Suzuki
Keyword(s):  
Image Compression ◽  
Vector Quantization ◽  
Block Size ◽  
Variable Block
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