Description

In today's digital world, images are often subjected to noise due to various factors such as low lighting, camera sensors, or image compression. This noise can greatly reduce the quality and clarity of the image, making it difficult to interpret or use for various applications. Therefore, enhancing noisy images has become an important topic of research. One approach to this problem is the use of multi-wavelet compression techniques. These techniques employ a combination of wavelet transformations to compress and reconstruct the image while simultaneously removing noise.

Multi-wavelet compression techniques are particularly effective in reducing noise without losing image detail, resulting in a clearer and more accurate image. The effectiveness of these techniques has been demonstrated in various applications, such as medical imaging, remote sensing, and surveillance. Additionally, they can be used to enhance images captured in low-light environments or with low-quality sensors.

In summary, multi-wavelet compression techniques provide a powerful tool for enhancing noisy images and improving their quality and clarity for a wide range of applications.