An Advanced Approach for Optical Large Size Colored Image Compression Using RGB Laser Beams: Simulation Results

A. Alkholidi
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Abstract

Theoretical image compression could have the ability to effectively reduce the data size by eliminating undesirable information to consequently get more space as well as time for hastening transmission. The objective of the proposed approach is to introduce a new algorithm for color image compression using RGB laser beams and reduce the time required to compress/decompress an image due to coherent optics. Research methodology used laser beams as a solution to simulate, implement, analyze, and evaluate images. Succinctly, the advantages of this approach are simple, fast, straightforward, and can be done numerically or optically. An optical setup for compression/decomposition of colored images has been actually indicated. In addition, we provided illustrative simulations to validate our proposed method and assess its performance on various types of color images. The aim of this method is oriented towards large-sized images wherever the image is processed as a whole without being divided into blocks. The significance and outcome of the proposed approach are to reduce the time required to process an image and to hasten transmission. The most important recommendation of this paper is to implement optically the proposed implementation and evaluate the real-time obtained results.
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一种基于RGB激光束的大尺寸彩色图像压缩方法:仿真结果
理论上的图像压缩可以通过消除不需要的信息来有效地减小数据大小,从而获得更多的空间和时间来加速传输。提出的方法的目的是引入一种使用RGB激光束的彩色图像压缩的新算法,并减少由于相干光学而压缩/解压缩图像所需的时间。研究方法使用激光束作为模拟、实现、分析和评估图像的解决方案。简而言之,这种方法的优点是简单、快速、直接,可以用数值或光学方法完成。实际上已经指出了用于压缩/分解彩色图像的光学装置。此外,我们提供了说明性模拟来验证我们提出的方法,并评估其在各种类型的彩色图像上的性能。这种方法的目的是针对大尺寸的图像,即图像作为一个整体进行处理,而不是分成块。所提出的方法的意义和结果是减少处理图像所需的时间和加快传输。本文最重要的建议是光学地实现所提出的实现并评估实时获得的结果。
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