Digitization of Ultrasound Images using Haze-Removal Algorithm and Enhanced Pixel Arrangement Algorithm
Jitesh Akaveeti1, Kotha Karthik2, Keerthi S3, Aarthi S4
1Jitesh Akaveeti, Student, Department of Computer Science & Engineering, SRM Institute of Science and Technology, Chennai, India.
2Keerthi S, Student, Department of Computer Science & Engineering, SRM Institute of Science and Technology, Chennai, India.
3Kotha Karthik, Student, Department of Computer Science & Engineering, SRM Institute of Science and Technology, Chennai, India.
4Aarthi S, Assistant Professor, Department of Computer Science & Engineering, SRM Institute of Science and Technology, Chennai, India.
Manuscript received on 13 April 2019 | Revised Manuscript received on 18 May 2019 | Manuscript published on 30 May 2019 | PP: 1251-1253 | Volume-8 Issue-1, May 2019 | Retrieval Number: A3183058119/19©BEIESP
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© 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: Ultrasound Image processing is faced with a number of challenges from distinct resolutions, format variations, non-uniform illuminations, distortions and noise. It is also affected by orientation and contrast differences. Conveying different resolved ultrasound images using haze removal and enhanced pixel arrangement algorithm. This is done by converting low resolution images into high resolution images. Haze-free images consists of some pixels having low intensities in at least one-color channel. Those images are then converted into high resolution imaging by usage of tools in the enhanced pixel arrangement algorithm and then resulting image obtained will be softened.
Keywords: Arrangement Algorithm Image Conveying Ultrasound
Scope of the Article: Algorithm Engineering