Hybrid medical image compression using the IKL transform with an efficient encoder | ||
| International Journal of Nonlinear Analysis and Applications | ||
| دوره 12، شماره 2، بهمن 2021، صفحه 757-767 اصل مقاله (467.73 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2021.5126 | ||
| نویسندگان | ||
| S. Saravanan* ؛ Sujitha Juliet | ||
| Department of Computer Science and Engineering, Karunya Institute of Technology and sciences, India. | ||
| چکیده | ||
| Medical images are generated in a huge number in the research centers and hospitals every day. Working with the medical images and maintain the storage needs an efficient fund and huge storage space. Retaining the quality of the medical image is also very essential. Image compression without losing its quality is the only term to achieve the desired task. Achieving the desired task using the integer Karhunen Loeve transform attains a quality output and also with less storage space. JPEG and JPEG 2000 are also challenging to the integer transform based compression. Resulting the compression quality in terms of peak signal noise ratio, compression ratio is attained. Proposed method of compression is compared with the other efficient algorithms. Thus this proposed method can be used efficiently for the medical image in order to store and retrieve in healthcare industry. | ||
| کلیدواژهها | ||
| Image Compression؛ IKLT؛ SPIHT | ||
| مراجع | ||
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