1. Digital Cameras and Forensic Imaging: Introduction. Why go digital? Uses of digital imagery. Film as a light sensor. Tonal and spatial resolution, and their consequences. Color response. Digital photography. Maintaining chain-of-control with digital images. Digital video. Scanners. Taking good pictures. Presenting pictures in the courtroom. Summary. 2. Processing Digital Images: Noise in digital images. Noise reduction methods. Median filtering. Processing color images. Nonrandom noise. Adjusting contrast, brightness and gamma. Adjusting color balance. Adjusting size (magnification). Spatial distortions. Other applications. 3. Enhancement: Enhancement of detail. Sharpening. Sharpening color images. Other enhancement techniques. Less common processing methods. Color separation and filtering. Frequency space (Fourier processing). High and low pass filtering, band-pass filtering, and periodic noise. Deconvolution, or removal of system defects. Measuring image resolution. Resolution from the Fourier transform. Tonal (gray scale) resolution. Detecting compression. Detecting forgeries. Maintaining records. 4. Identification. The imaging chain. Surveillance video cameras. Recording and playback problems. Pixels and resolution elements. Noise and tonal resolution. Other shortcomings. Enhancement. Image restoration. Recognition and identification. Identification of faces. Identification by DNA. Misdirection and mistakes. 5. The Expert Witness: Working with counsel, judges and juries.