6 search results - page 1 / 2 » Image De-Quantizing via Enforcing Sparseness in Overcomplete... |
ACIVS
2005
Springer
13 years 10 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
12 years 11 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
14 years 5 months 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 4 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 2 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 ...