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All Journal PROtek : Jurnal Ilmiah Teknik Elektro Sistemasi: Jurnal Sistem Informasi CSRID
Al-Ameen, Zohair
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy

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Journal : PROtek : Jurnal Ilmiah Teknik Elektro

 1 
Low Intricacy‎ Multistage Algorithm for Underwater Image Enhancement Al-Ameen, Zohair; Ahmed, Ahmed A.
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 1 (2024): PROtek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i1.6888

Abstract

Humanity currently lives in a technological era that witnesses rapid progress in multiple fields. Digital image processing is one of the modern technologies that has provided practical answers to many challenges including image enhancement, analysis, reconstruction, recovery, compression, processing, and understanding. One of these notable challenges relates to underwater photography. Underwater images are always exposed to less-than-ideal conditions due to environmental and physical factors. These include refraction of light in water, scattering of particles and dust in the aquatic medium, lack of illumination in deep water, and poor contrast. These challenges make it extremely difficult to analyze and extract valuable information without advanced processing.  In this study, an improved color balance-fusion algorithm is provided by improving the image visuality and modifying some equations to obtain sharper and clearer images. The proposed algorithm begins by finding the white balance of the input RGB color image, after that, it improves the intensity. Next, the edges are improved using Gamma separately. The weights are then found for each image and combined to find naive fusion. The resulting image is processed using a color retrieval algorithm to produce the final image. along with comparisons to eleven other algorithms with various processing methods. Experimental results showed that this algorithm can significantly improve underwater images, increasing image clarity and making colors clearer. The improvement rates reached 5.8389 and 2.6778 for UISM and UICM metrics, respectively.
Using S-Curve Transforms and Gamma Correction for MR Images Contrast Enhancement Al-Abaji, Manar; Al-Ameen, Zohair
PROtek : Jurnal Ilmiah Teknik Elektro Vol 12, No 2 (2025): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v12i2.9686

Abstract

Facilitating diagnosis and therapy. A common degradation in MR images is deficient contrast. This degradation affects the image with a layer of murkiness, reducing the clarity of details. Various contrast enhancement (CE) methods produce unsatisfactory results due to brightness amplification or artifact generation. Therefore, an effective CE algorithm called (WRGC) is introduced, which depends on two transformations of Weibull (W) and Rayleigh (R) distribution with modified gamma correction (GC), applied separately. The three resulting images are combined to obtain the features of all three images using an adapted logarithmic addition method. Finally, the output image is acquired by applying the normalization method. The proposed algorithm is tested with many degraded MR images obtained from the CTisus website. Moreover, it was compared with four different CE approaches and evaluated using three measures. The results showed that the proposed method outperformed many existing CE algorithms and provided satisfactory visual details and contrast-adjusted results.
Low Intricacy‎ Multistage Algorithm for Underwater Image Enhancement Al-Ameen, Zohair; Ahmed, Ahmed A.
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 1 (2024): PROtek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i1.6888

Abstract

Humanity currently lives in a technological era that witnesses rapid progress in multiple fields. Digital image processing is one of the modern technologies that has provided practical answers to many challenges including image enhancement, analysis, reconstruction, recovery, compression, processing, and understanding. One of these notable challenges relates to underwater photography. Underwater images are always exposed to less-than-ideal conditions due to environmental and physical factors. These include refraction of light in water, scattering of particles and dust in the aquatic medium, lack of illumination in deep water, and poor contrast. These challenges make it extremely difficult to analyze and extract valuable information without advanced processing.  In this study, an improved color balance-fusion algorithm is provided by improving the image visuality and modifying some equations to obtain sharper and clearer images. The proposed algorithm begins by finding the white balance of the input RGB color image, after that, it improves the intensity. Next, the edges are improved using Gamma separately. The weights are then found for each image and combined to find naive fusion. The resulting image is processed using a color retrieval algorithm to produce the final image. along with comparisons to eleven other algorithms with various processing methods. Experimental results showed that this algorithm can significantly improve underwater images, increasing image clarity and making colors clearer. The improvement rates reached 5.8389 and 2.6778 for UISM and UICM metrics, respectively.
Co-Authors Ahmed, Ahmed A. Al-Abaji, Manar Basheer, Ola Younis, Zainab Khalid