Oriental Journal of Computer Science and Technology

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Optimized Binary Merge Coding for Lossless Image Compression


Affiliations
1 Department of Computer Science and Technology, College of Engineering, JNTU, Hyderabad, India
2 Department of Computer Science and Engg., Al –Habeeb College of Engineering, Chevella, Ranga Reddy Dt, India
 

Digital Spatial Image Processing is a rapidly evolving field with growing applications in Science and Engineering. Spatial Image data requires considerable storage capacity and transmission bandwidth. Despite rapid progress in mass-storage density, processor speeds, and digital communication system performance, demand for data storage capacity and data-transmission bandwidth continues to outstrip the capabilities of available technologies. This is a crippling disadvantage during transmission & storage. So, there arises a need of efficient Image Compression Techniques for compression . This paper deals with Optimized Binary Merge Coding for data compression, which is a modification to the Binary merge coding. Like in BMC the Optimized Binary Merge Coding uses Huffman coding after the modified Binary Merge Coding. The results of the Optimized Binary Merge Coding are compared with Binary Merge Coding and JPEG. An experimental result shows that Optimized Binary Merge Coding improves compression rate compared to Binary Merge coding. The same algorithm can be extended to color images.

Keywords

Binary Merge Coding, Optimized Binary Merge Coding, Huffman Coding Technique, JPEG, Bit Plane, Data Table.
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  • Optimized Binary Merge Coding for Lossless Image Compression

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Authors

N. Subhash Chandra
Department of Computer Science and Technology, College of Engineering, JNTU, Hyderabad, India
M. Bala Raju
Department of Computer Science and Technology, College of Engineering, JNTU, Hyderabad, India
S. Mahaboob Basha
Department of Computer Science and Engg., Al –Habeeb College of Engineering, Chevella, Ranga Reddy Dt, India
A. Govardhan
Department of Computer Science and Technology, College of Engineering, JNTU, Hyderabad, India

Abstract


Digital Spatial Image Processing is a rapidly evolving field with growing applications in Science and Engineering. Spatial Image data requires considerable storage capacity and transmission bandwidth. Despite rapid progress in mass-storage density, processor speeds, and digital communication system performance, demand for data storage capacity and data-transmission bandwidth continues to outstrip the capabilities of available technologies. This is a crippling disadvantage during transmission & storage. So, there arises a need of efficient Image Compression Techniques for compression . This paper deals with Optimized Binary Merge Coding for data compression, which is a modification to the Binary merge coding. Like in BMC the Optimized Binary Merge Coding uses Huffman coding after the modified Binary Merge Coding. The results of the Optimized Binary Merge Coding are compared with Binary Merge Coding and JPEG. An experimental result shows that Optimized Binary Merge Coding improves compression rate compared to Binary Merge coding. The same algorithm can be extended to color images.

Keywords


Binary Merge Coding, Optimized Binary Merge Coding, Huffman Coding Technique, JPEG, Bit Plane, Data Table.