Abstract

The digital image processing (DIP) is the process of digital images using various computer algorithms. This digital image processing has been employed in number of areas such as pattern recognition, remote sensing, image-sharpening, colour and video processing and medical. Since images are defined over two dimensions digital image processing may be modelled in the form of multi-dimensional systems. The generation and development of digital image processing are mainly affected by three factors: first one, development of computers; second, development of mathematics and third, demand for a wide range of applications including agriculture, military, industry and medical science has increased. When images are digitally stored in RAW format, they are saved in a matrix with each element representing the pixel’s intensity value. These matrices are indexed in the form A (H, V), where H is the pixel’s horizontal position and V its vertical position.

Keyword

Digital image processing (DIP), Compression, Cartesian, Gaussian, Matrix.

Cite this article

Nethaji V, Shanmugasundaram AP

Refference

[1][1]Almohri H, Gray JS, Alnajjar H. A real-time DSP-based optical character recognition system for isolated arabic characters using the TI TMS320C6416T (Doctoral dissertation, University of Hartford).

[2][2]Erickson BJ, Korfiatis P, Akkus Z, Kline T, Philbrick K. Toolkits and libraries for deep learning. Journal of Digital Imaging. 2017; 30(4):400-5.

[3][3]Anagnostopoulos CN, Anagnostopoulos IE, Loumos V, Kayafas E. A license plate-recognition algorithm for intelligent transportation system applications. IEEE Transactions on Intelligent transportation systems. 2006; 7(3):377-92.

[4][4]Puri C, Singh S. Image segmentation and classification-a review. International Journal of Innovative Research in Science, Engineering and Technology. 2014.

[5][5]Taujuddin M, Afifi NS, Lockman NA. Image compression using wavelet algorithm. International Seminar on the Application of Science and Mathematics.2011.

[6][6]Deodhare D, Suri NR, Amit R. Preprocessing and image enhancement algorithms for a form-based intelligent character recognition system. International Journal of Computer Science and Applications. 2005; 2(2):131-44.

[7][7]Felzenszwalb PF, Huttenlocher DP. Efficient graph-based image segmentation. International Journal of Computer Vision. 2004; 59(2):167-81.

[8][8]Pandit H, Shah DM. Application of digital image processing and analysis in healthcare based on medical palmistry. In international conference on intelligent systems and data processing 2011 (pp. 56-9).