Hybrid Approaches to Image Coding: A Review
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2011, Vol 2, Issue 7
Abstract
Now a days, the digital world is most focused on storage space and speed. With the growing demand for better bandwidth utilization, efficient image data compression techniques have emerged as an important factor for image data transmission and storage. To date, different approaches to image compression have been developed like the classical predictive coding, popular transform coding and vector quantization. Several second generation coding schemes or the segmentation based schemes are also gaining popularity. Practically efficient compression systems based on hybrid coding which combines the advantages of different traditional methods of image coding have also being developed over the years. In this paper, different hybrid approaches to image compression are discussed. Hybrid coding of images, in this context, deals with combining two or more traditional approaches to enhance the individual methods and achieve better quality reconstructed images with higher compression ratio. Literature on hybrid techniques of image coding over the past years is also reviewed. An attempt is made to highlight the neuro-wavelet approach for enhancing coding efficiency.
Authors and Affiliations
Rehna. V. J , Jeya Kumar. M. K
Keywords
Related Articles
- EP ID EP124407
- DOI -
- Views 103
- Downloads 0
Research on Energy Saving Method for IDC CRAC System based on Prediction of Temperature
Amid the information era, energy consumption of IDC Computer Room Air Conditioning (CRAC) system is becoming increasingly serious. Thus there is growing concern over energy saving and consumption reduction. Based on the...
Applications of Some Topological Near Open Sets to Knowledge Discovery
In this paper, we use some topological near open sets to introduce the rough set concepts such as near open lower and near open upper approximations. Also, we study the concept of near open, rough set and some of their b...
Link Prediction Schemes Contra Weisfeiler-Leman Models
Link prediction is of particular interest to the data mining and machine learning communities. Until recently all approaches to the problem used embedding-based methods which leverage either node similarities or latent g...
Framework of Resource Management using Server Consolidation to Minimize Live Migration and Load Balancing
Live Migration is one of the essential operations that require more attention to addressing its high variability problems with virtual machines. We review the existing techniques of resource management to find that there...
A Resource Recommendation Approach based on Co-Working History
Recommending the right resource to execute the next activity of a running process instance is of utmost importance for the overall performance of the business process, as well as the resource and for the whole organizati...