Low Resolution to High Resolution Image Projection with Spectral, Noise Removal and Edge Preservation Coding Techniques
M. Nagaraju Naik1, P. Raveendrababu2

1Dr. M. Nagaraju Naik, Associate Professor, Department of Electronics & Communication Engineering, CMR College of Engineering & Technology, Kandlakoya (Hyderabad), India.
2P. Raveendrababu, Associate Professor, Department of Electronics & Communication Engineering, CMR College of Engineering & Technology, Kandlakoya (Hyderabad), India. 

Manuscript received on 10 August 2017 | Revised Manuscript received on 18 August 2017 | Manuscript Published on 30 August 2017 | PP: 21-28 | Volume-6 Issue-6, August 2017 | Retrieval Number: F5106086617/17©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Many technical papers were presented in the improvement of accuracy and visual quality. Image coding is developed over a long period with various enhancement techniques. In the area of digital image processing resources required in optimized methods for better representation of higher resolutions for progressive image processing. More research work required towards high-resolution representation in real time applications and focused more optimization methods for efficient system representation. But available resources are limited due to noise, due to the noisy overall system accuracy and efficiency will decrease. Fourier transform represents less accuracy and visual quality because projecting energy with noise in all the directions. Hence we propose a lower dimensional coding system with higher accuracy with spectral band interpolation; inter-frame correlative for noise removal and finally adaptive edge preservation for smooth representation. The proposed technique gives more accuracy and projected in the higher grid and hence the obtained system is robust.
Keywords: Accuracy, Interpolation, Image Coding, Spectral Band, Edge Preserving

Scope of the Article: Image Security