Prawira, Made Yuda (2025) Pengurangan Chromatic Aberration (Ch Ab) pada Citra Fotografi Dengan Metode Hybrid Median Filter dan Gaussian Blur. Undergraduate thesis, Politeknik Negeri Bali.
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Abstract
The quality of photographic images is significantly affected by various distortions, one of which is Chromatic Aberration (CA), appearing as color fringes at the edges of objects and capable of degrading visual image quality. This issue is crucial in professional photography. Various methods have been developed to address distortions like noise in digital images, including the Median Filter, effective for salt-and-pepper noise but less optimal for Gaussian noise, and Gaussian Blur, which can smooth Gaussian noise but may remove fine details. This research aims to mitigate Chromatic Aberration (CA) and noise in photographic images by developing a system that integrates the Hybrid Median Filter and Gaussian Blur methods. This system is designed to simultaneously reduce CA and noise while preserving image details. System development was carried out using the Python programming language, utilizing the OpenCV library for image processing and Matplotlib for visualization. The development methodology employed was the Waterfall model, encompassing requirements analysis, system design, implementation, and black-box testing. In its implementation, the system separates the image into RGB color channels, applies both the Median Filter and Gaussian Blur sequentially to each channel, and then recombines them to produce a superior final image. Validity testing was performed using Mean Square Error (MSE) and Peak Signal-to-Noise Ratio (PSNR) parameters. The test results consistently showed low MSE and high PSNR values, quantitatively proving the effectiveness of the hybrid method in producing images with superior visual quality and minimal noise, as well as significantly mitigating CA. This research is expected to contribute significantly to the field of digital image processing for professional photographic applications and can serve as a foundation for the development of more adaptive algorithms in the future.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Chromatic Aberration, Hybrid Median Filter, Gaussian Blur, Image Processing, Python. |
| Subjects: | Ilmu Teknik Ilmu Teknik > Teknik Elektro Dan Informatika > Teknik Informatika |
| Divisions: | Jurusan Teknologi Informasi > Prodi D4 Teknologi Rekayasa Perangkat Lunak > Skripsi |
| Depositing User: | Made Yuda Prawira |
| Date Deposited: | 18 Sep 2025 03:06 |
| Last Modified: | 18 Sep 2025 03:06 |
| URI: | https://repository.pnb.ac.id/id/eprint/19686 |
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