[1]ТехникаRUРецензированоОткрытый доступ
СОЦИАЛЬНАЯ СФЕРА ОБЩЕСТВА И СОЦИАЛЬНАЯ ПОЛИТИКА ГОСУДАРСТВА
Наука и технология в современном миреМирзаева Ширин Нодировна, Тахиров Чингиз Аъзамович +22026
РецензированоEN2025
An Algorithm for Detecting Frame Errors Based on RGB Histogram Oscillations in Video Streams
PAGE NO. - · Histogram Oscillations in Video Streams · Anastasiya Puziy · Mukhriddin Arabboev (PhD, Associate Professor, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent,) · Shohruh Begmatov (PhD, Associate Professor, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent,) · Ruxshona Nabiyeva (PhD, Associate Professor, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent,) · Kholisakhon Davletova (Final-year Bachelor’s degree student, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi,)
American Journal Of Applied Science And Technology · 05 · 42–55 · 2025
Аннотация
Video frame errors caused by data corruption, compression artifacts, or transmission noise can severely impact visual quality and automated analysis. This paper presents a lightweight and interpretable algorithm for detecting such errors using color histogram analysis. The method constructs and normalizes histograms across RGB channels, identifies the frequency of color oscillations, and classifies frames as normal or erroneous based on a minimal oscillation threshold. Experimental evaluations confirm that the approach is efficient, suitable for real-time applications, and effective in detecting visually corrupted frames. Keywords: Frame error detection, RGB histogram, video analysis, color oscillation, image quality.
Доказательный фрагмент
«Video frame errors caused by data corruption, compression artifacts, or transmission noise can severely impact visual quality and automated analysis.»
Образец извлечения
Демо-превьюVideo frame errors caused by data corruption, compression artifacts, or transmission noise can severely impact visual quality and automated analysis. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.
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- Узбекистан
- Ключевые слова
- Frame error detection, RGB histogram, video analysis, color oscillation, image quality
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