Employing Artificial Intelligence to Enhance Television Image Quality and Improve Broadcasting Techniques

Malik Rehab Alazzah

doi:10.35516/Hum.2026.9424

Authors

Malik Rehab Alazzah Department of Radio and Television, Faculty of Media, Zarqa University, Zarqa, Jordan. https://orcid.org/0009-0000-4006-981X

DOI:

https://doi.org/10.35516/Hum.2026.9424

Keywords:

Artificial Intelligence, Television Image Enhancement, Broadcast Technology Improvement.

Abstract

Objectives: This study aimed to assess the extent of artificial intelligence (AI) utilization in enhancing television image quality and broadcasting techniques. It also examined the reliance of TV channel employees on AI in media production and the impact of this technology on quality and performance improvement.

Methods: A descriptive survey approach was employed. The study population included employees from local TV channels (Jordan Television, Al-Mamlaka Channel, and Roya Channel). A questionnaire was used to collect data from a sample of 250 individuals. Statistical analyses were conducted using SPSS to address the study questions.

Results: Respondents demonstrated a high level of knowledge about AI techniques and tools, recognizing their significance and effectiveness in improving television image quality and broadcasting methods. The study found no statistically significant differences (α ≥ 0.05) in AI utilization based on gender, education, or job type.

Conclusions: The study recommends expanding the adoption of AI applications across television channels, as they enhance efficiency by saving time and effort while ensuring speed and high accuracy in performance.

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