AN EFFICIENT SUPER RESOLUTION TECHNIQUE FOR LOSS LESS COMPRESSED BAYER COLOUR FILTER ARRAY IMAGES
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 5
Abstract
In digital cameras, Bayer color filter array(CFA) images are captured and demosaicing is carried out before compression. Recently, it was found that compression-first schemes outperform the conventional demosaicing-first schemes in terms of output image quality. An efficient prediction-based lossless compression and super-resolution schemes are proposed in this paper. Compressed image is coded with rice code. The proposed compression and super resolution schemes can achieve a better compression and high image quality than conventional lossless CFA image coding schemes.
Authors and Affiliations
K. Chiranjeevi , U. V. Ratna Kumari , Prabhakar. Telagarapu
Hierarchical classification of web content using Naïve Bayes approach
This paper explores the use of hierarchical structure to classify a heterogeneous collection of web pages. In the hierarchical classification, a model learns to distinguish a second level category from all other categori...
Context Aware E-Learning System with Dynamically Composable Learning Objects
Context aware E-Learning systems provide learning content according to a learner’s context. In the existing context aware E-Learning systems there is no standardized set of context parameters considered and content is ad...
Optimization of fuzzy multi-company workers assignment problem with penalty using genetic algorithm
In this paper, we proposed the fuzzy multi-job and multi-company workers assignment problem with penalty. Our purpose is obtaining the optimal solution the assignment problem, where n jobs are assigned to m workers (m>...
An Approach to Automatic Generation of Test Cases Based on Use Cases in the Requirements Phase
The main aim of this paper is to generate test cases from the use cases. In the real-time scenario we have to face several issues like inaccuracy, ambiguity, and incompleteness in requirements this is because the require...
A Novel Method for Brain MRI Super-resolution by Wavelet-based POCS and Adaptive Edge Zoom
This paper aims to make the super-resolution of a high-resolution image from a sequence of low-resolution frames containing non-stationary objects. The challenges of making super-resolution image, like unavoidable smooth...