Almotairi Khaled Primary Author mixed material bibliography Bandung ITB Journal Publisher 2020 e English

Artikel Jurnal

hlm : 95-114 Abstract Digital image histogram equalization is an important technique in image processing to improve the quality of the visual appearance of images. However, the available methods suffer from several problems such as side effects and noise, brightness and contrast problems, loss of information and details, and failure in enhancement and in achieving the desired results. Therefore, the Adaptive Global Two-Stage Histogram Equalization (GTSHE) method for visual property enhancement of gray-level images is proposed. The first stage aims to clip the histogram and equalize the clipped histogram based on the number of occurrences of gray-level values. The second stage adaptively adjusts the space between occurrences by using a probability density function and different cumulative distribution functions that depend on the available and missing gray-level occurrences. Experiments were conducted using a number of benchmark datasets of images such as the Galaxies, Biomedical, Miscellaneous, Aerials, and Texture datasets. The results of the experiments were compared with a number of well-known methods, i.e. HE, AHEA, ESIHE, and MVSIHE, to evaluate the performance of the proposed method. The evaluation analysis showed that the proposed GTSHE method achieved a higher accuracy rate compared to the other methods. Ilmu Teknik JICTRA 23375787 Perpustakaan Teknik UPI YAI JICTRA V14N2 December 2020 JICTRA2a-001 Perpustakaan FT UPI YAI JICTRA V14N2 December 2020 JICTRA2b-001 Perpustakaan FT UPI YAI JICTRA V14N2 December 2020 JICTRA_ITB_small.png.png 59035 2023-02-13 14:19:30 2023-02-13 14:19:30 machine generated