Volume : I, Issue : I, June - 2012
Study on Texture Descriptors in Super Resolution
Kiran . P. Patel
Abstract :
The local geometry of an image is conveyed by image features such as edges, corners and curves. In this paper, I present study & overview of state–of–the–art Texture Descriptors , namely local binary pattern, uniform local binary pattern, local ternary pattern & noise tolerant local ternary pattern operator. We can encode these features with these operators .A new learning based technique to super–resolve a low resolution image using these Operators and a database of low resolution (LR) images and corresponding high resolution (HR) versions. The missing high resolution features of the low resolution observation are learnt in the form of discrete cosine transform coefficients from high resolution images in the training database.
Keywords :
Local Binary Pattern Operator Uniform Local Binary Pattern operator Local Ternary Pattern operator & Noise Tolerant Ternary Pattern operator
Article:
Download PDF
DOI : 10.36106/ijsr
Cite This Article:
Kiran .P.Patel, Study on Texture Descriptors in Super Resolution, International Journal of Scientific Research, Vol.I, Issue.I June 2012
Number of Downloads : 683
References :
Kiran .P.Patel, Study on Texture Descriptors in Super Resolution, International Journal of Scientific Research, Vol.I, Issue.I June 2012
Our Other Journals...
-
Indian Journal of
Applied Research Visit Website -
PARIPEX Indian Journal
of Research Visit Website -
Global Journal for
Research Analysis Visit Website