Nowadays, there is an increasing demand for images with high definition and fine textures,
but images captured in natural scenes usually suffer from complicated blurry artifacts …

License plate recognition (LPR) is essential as the number of vehicles increases and the
human ability to accomplish this task is limited. If human labor is used to manage these, it …

The image deblurring problem is an active area of research in image processing. The Fast
Iterative Shrinkage Thresholding Algorithm (FISTA) has garnered significant attention for …

The analysis-sparse model has been shown to be efficient as compared to the synthesis-
sparse model when the sparsifying transform is redundant particularly for image restoration …

Robust principal component analysis (RPCA) has gained popularity for handling high-
dimensional data. The nuclear norm minimization (NNM) in RPCA is a classical method and …

The deconvolution problem appears in many real-world applications, such as Image
deblurring, which is still an active field of research for image quality improvement. In this …

The linear inverse problem emerges from various real-world applications such as Image
deblurring, inpainting, etc., which are still thrust research areas for image quality …