6 search results - page 1 / 2 » Image De-Quantizing via Enforcing Sparseness in Overcomplete... |
ACIVS
2005
Springer
14 years 4 months ago
2005
Springer
We describe a method for removing quantization artifacts (de-quantizing) in the image domain, by enforcing a high degree of sparseness in its representation with an overcomplete or...
TIP
2010
13 years 5 months ago
2010
This paper presents a new approach to single-image superresolution, based on sparse signal representation. Research on image statistics suggests that image patches can be wellrepre...
ICIP
2009
IEEE
15 years 20 hour ago
2009
IEEE
We propose a new color de-quantizing method for paletted images based on maximizing the sparseness of the overcomplete wavelet analysis of the estimation within the consistency se...
NECO
2007
13 years 10 months ago
2007
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
ICIP
2010
IEEE
13 years 9 months ago
2010
IEEE
An image representation framework based on structured sparse model selection is introduced in this work. The corresponding modeling dictionary is comprised of a family of learned ...