Research on image denoising frameworks is being explored, with various approaches being proposed, including the use of compressive sensing, artificial intelligence, and deep learning techniques. Different methods, such as optimized sensing matrices, split Bregman algorithms, and denoising autoencoders, are being investigated for their potential to enhance image quality. The applications of these techniques appear to span multiple fields, including medical imaging, remote sensing, and satellite imaging.