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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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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.
Nighttime Image Enhancement: A Review of Topical Concepts Basheer, Ola; Al-Ameen, Zohair
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i3.3938

Abstract

With the increasing spread of nighttime images and their importance in human lives, and the development of computer vision, producing images with the highest possible quality is paramount. Nighttime images have been improved over the past decades by introducing many methods, each of which uses different techniques to enhance the quality of such images that have many degradations, such as poor illumination, uneven lighting, low contrast, widespread noise, and unnatural colors. This paper reviews twelve modern-day algorithms that can be used to enhance nighttime images by presenting the concepts, work mechanisms, processing abilities, and performance evaluations for each algorithm. Likewise, these algorithms are evaluated using three metrics with their processing times, and the advantages and disadvantages of each algorithm are given. Such a review can help researchers understand which concepts to select for development, which drawbacks to avoid when developing an algorithm in this field, and what the currently available concepts are.
Retinex-Based Algorithm to Enhance Underlit Archaeology Images Taken in Semi-or-Fully Enclosed Environments Al-Ameen, Zohair; Younis, Zainab Khalid
CSRID (Computer Science Research and Its Development Journal) Vol. 17 No. 3 (2025): Oktober 2025
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.17.3.2025.285-295

Abstract

Archaeology is strongly related to digital images, as they visually represent scenes and objects. Archaeological images are rarely obtained in perfect quality, as degradations often affect them. One constant degradation is uneven illumination. It leads to dim, underlit results with unpleasant appearances. This paper provides a fast Retinex-based algorithm to better brighten underlit archaeological images. The Retinex model is adapted using statistical and image processing methods. This aids in providing brighter and more perceptually pleasing results. The main modifications to the Retinex algorithm include the following: (i) utilize a new approach to compute the reflectance component; (ii) add a statistical method to further improve the reflectance; (iii) apply a linear stretching procedure to guarantee full dynamic range pixel distribution. These modifications help to get more uniform illumination in the results. The algorithm efficiently enhanced brightness and tonality, revealing fine textures and intricate details. The resulting images demonstrate significant balance in illumination compared to the original counterparts. Likewise, comparisons are made with six algorithms having dissimilar concepts, and evaluations are made using two assessment methods. The results are promising as the proposed algorithm performed well visually and objectively, scoring an average LOE of 195.14 and average runtime of 0.798 seconds. This indicates a successful tackling of a distinctive challenge, offering a non-complex solution.
Co-Authors Ahmed, Ahmed A. Al-Abaji, Manar Basheer, Ola Younis, Zainab Khalid