The remaining chapters in the book oscillate about this point of narrowing the focus in order to provide enough detail to actually implement the technology, versus reducing such detail in favor of expanding the breadth of coverage in order to provide a more comprehensive perspective of the field. After wavelet decomposition, one encounters chapters on image noise models, color science á là Joel Trussell’s well-known linear-algebra approach, probabilistic image modeling, linear and nonlinear filtering and denoising, and morphological filtering. The material becomes a bit more advanced with the next two chapters on deconvolution through both direct and iterative methods. Three chapters on compression, such as the aforementioned discussion of JPEG and JPEG2000, appear next. Finally, chapters on edge detection, partial-differential equation diffusion, and image-quality assessment complete the central portion of the book.