Md. Ashfanoor Kabir, Celia Shahnaz
Shanto Rahman, Md. Mostafijur Rahman, M. Abdullah‐Al‐Wadud, Golam Dastegir Al-Quaderi et al.
Due to the limitations of image-capturing devices or the presence of a non-ideal environment, the quality of digital images may get degraded. In spite of much advancement in imaging science, captured images do not always fulfill users’ expectations of clear and soothing views. Most of the existing m...
Prajoy Podder, Tanvir Zaman Khan, Mamdudul Haque Khan, Mezbahur Rahman
In the emerging field of medical image processing, computer vision, pattern recognition and other digital signal processing applications, window technique is vastly used. A window function is a mathematical function that is zero-valued outside of some chosen interval. When another function is multip...
Md. Abdul Awal, Sheikh Shanawaz Mostafa, Mohiuddin Ahmad, M. A. Rashid
Showrov Islam, M Aziz, Hadiur Rahman Nabil, Jamin Rahman Jim et al.
Generative Adversarial Networks are a class of artificial intelligence algorithms that consist of a generator and a discriminator trained simultaneously through adversarial training. GANs have found crucial applications in various fields, including medical imaging. In healthcare, GANs contribute by ...
R. Nanmaran, S Srimathi, G. Yamuna, S. Thanigaivel et al.
Image fusion can be performed on images either in spatial domain or frequency domain methods. Frequency domain methods will be most preferred because these methods can improve the quality of edges in an image. In image fusion, the resultant fused images will be more informative than individual input...
Hancheng Yu, Li Zhao, Haixian Wang
In this letter, we present an efficient algorithm for the removal of random-valued impulse noise from a corrupted image by using a reference image. The proposed method uses a statistic of rank-ordered relative differences to identify pixels which are likely to be corrupted by impulse noise. Once a n...
Mohammad Tariqul Islam, Sejuti Rahman, M. Omair Ahmad, M.N.S. Swamy
The removal of mixed-noise is an ill-posed problem due to high level of non-linearity in the distribution of noise. Most commonly encountered mixed-noise is the combination of additive white Gaussian noise (AWGN) and impulse noise (IN) that have contrasting characteristics. A number of methods from ...
Kazi A. Kalpoma, J. Kudoh
Many image fusion techniques have been developed. However, most existing fusion processes produce color distortion in 1-m fused IKONOS images due to nonsymmetrical spectral responses of IKONOS imagery. Here, we proposed a fusion process to minimize this spectral distortion in IKONOS 1-m color images...
S. M. Mahbubur Rahman, Md. Kamrul Hasan
Fazle Sadi, Soo Yeol Lee, Md. Kamrul Hasan
A new iterative center weighted median filter (ICWMF) for ring artifact reduction from the micro-computed tomographic (micro-CT) image is proposed in this paper. The center weight of the median filter is computed based on the characteristic of the ring artifact in the mean curve of the projection da...
Raihan Firoz, Md. Shahjahan Ali, M. Nasir Uddin Khan, M. Khalid Hossain et al.
Medical imaging includes different modalities and processes to visualize the interior of human body for diagnostic and treatment purpose. However, one of the most common degradations in medical images is their poor contrast quality and noise. The existence of several objects and the close proximity ...
Subrato Bharati, Tanvir Zaman Khan, Prajoy Podder, Nguyen Quoc Hung
. Noise reduction in medical images is a perplexing undertaking for the researchers in digital image processing. Noise generates maximum critical disturbances as well as touches the medical images quality, ultrasound images in the field of biomedical imaging. The image is normally considered as gath...
Tanzila Rahman, Mohammad Shorif Uddin
Ultrasound imaging plays a crucial roles in medical field to estimate kidney size, position, appearance and helps to detect structural abnormalities as well as the presence of cysts, stones, cancer, congenital anomalies, swelling, blockage of urine flow etc. But presence of speckle noise and low con...
Richard A. Gray, Tamás Linder, Jia Li
Zador's (1963, 1966) classic result for the asymptotic high-rate behavior of entropy-constrained vector quantization is recast in a Lagrangian form which better matches the Lloyd algorithm used to optimize such quantizers. The equivalence of the two formulations is shown and the result is proved for...