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Home / programming language / Online Matlab Projects / Data compression for time-stretch imaging based on differential detection and run-length encoding
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Data compression for time-stretch imaging based on differential detection and run-length encoding

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SKU: PROJ8369 Categories: 2018-2019 Projects, Digital Image Processing Projects, Online Matlab Projects Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Matlab Project, PHP Project, Students Projects
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Data compression for time-stretch imaging
based on differential detection and run-length
encoding

Abstract– In the first place, a high-fidelity data compression method based on differential detection and run-length encoding is proposed for time-stretch imaging system, where spatial image is mapped to the time domain and then read out by a balanced photodetector for image reconstruction. Differential detection is capable of distinguishing discrepancy of consecutive scans and eliminating identical signals. Af ter the detection, run-length encoding merges consecutive identical data to a single data. In the experiment, a 77.76 MHz line-scan imaging system is demonstrated. The compression ratio of more than 3.8 is achieved. After the data decompression, the image of high fidelity can be reconstructed

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