About the book
Image quality has played significant roles in many applications such as land cover classification in remote sensing, medical diagnosis, face recognition, object tracking, rover guidance, etc. In the past few decades, imaging hardware has improved tremendously in terms of resolution, making widespread usage of images in many diverse applications on Earth and planetary missions. However, practical issues associated with image acquisition are still affecting image quality. Some of these issues such as blurring, measurement noise, mosaicing artifacts, low spatial or spectral resolution, etc. can seriously affect the accuracy of the aforementioned applications. For instance, images captured in low lighting conditions using digital cameras with color filter arrays contain Poisson noise, degrading the demosaiced image quality. Another example is that, due to limited bandwidth and power, it is impossible to have both high spatial resolution and high spectral resolution concurrently in many remote sensing imagers. A third example is that the image quality may be degraded by environmental factors such as fog, haze, sand storms, cloud, etc. Image quality needs to be restored in order to make them usable for some practical applications. This book intends to provide the reader with a comprehensive overview of the current state-of-the-art and most recent advances in image restoration, which may include image denoising, image deblurring, image super-resolution, image fusion to enhance spatial, spectral resolution, and temporal resolutions, and image demosaicing to deal with poor lighting conditions. Some practical applications are also included.