Picture Processing

• Can blurry images be fixed?
• Colour versus grayscale pixels
• Does image super-resolution work?
• Fixing photographs (e.g. travel snaps) (ii)
• Image enhancement (1) : The basics
• Image enhancement (2) : the fine details (i.e. sharpening)
• Image enhancement (3) : Noise suppression
• Image enhancement (4) : Contrast enhancement
• Image sharpening – image content and filter types
• Image sharpening in colour – how to avoid colour shifts
• Unsharp masking in ImageJ – changing parameters
• What is unsharp masking?
• Why image processing is an art

Human Vision

• 30-odd shades of gray – the importance of gray in vision
• 32 shades of gray
• A ballad of the senses
• Demystifying Colour (ii) : the basics of colour perception
• How do we perceive depth from flat pictures?
• How do we perceive photographs?
• How many colours are in a photograph?
• How many colours can humans see?
• Image resolution and human perception
• Is the eye equivalent to a 50mm lens?
• Mach bands and the perception of images
• More on Mach bands
• Photography and colour deficiency
• Resolution of the human eye (i) pure pixel power
• Resolution of the human eye (ii) – visual acuity
• Resolution of the human eye (iii) – things that affect visual acuity
• The camera does not lie
• The wonder of the human eye
• What is the focal length of the human eye?
• When visual data becomes a dull noise
• Why human eyes are so great

Colour

• Demystifying Colour (i) : visible colour
• Demystifying Colour (ii) : the basics of colour perception
• Demystifying Colour (iii) : colour models and spaces
• Demystifying colour (iv) : RGB colour model
• Demystifying Colour (v) : colour gamuts
• Demystifying Colour (vi) : Additive vs. subtractive
• Demystifying colour (vii) : sRGB vs. Adobe RGB
• Every colour photograph is a manipulation of the truth
• How do we perceive photographs?
• Photography and colour deficiency
• The perception of enhanced colour images
• The realization of colour

How Digital Cameras Work

• From photosites to pixels (i) – the process
• From photosites to pixels (ii) – ADC
• From photosites to pixels (iii) – DIP
• How do camera sensors work?
• How does digital ISO work?
• How many bits in an image?
• Megapixels and sensor resolution
• Photosite size and light
• Photosite size and noise
• Photosites – Quantum efficiency
• Photosites – Well capacity
• The Bayer filter
• The size of photosites
• Those weird image sensor sizes
• What happens to “extra” photosites on a sensor?
• Why camera sensors don’t have pixels
• Why do buildings lean? (the keystone effect)

Digital Photography

• A new perspective
• Are black-and-white photographs really black and white?
• Can blurry images be fixed?
• Could blur be the new cool thing in photography?
• Demystifying Colour (i) : visible colour
• Demystifying Colour (ii) : the basics of colour perception
• Demystifying Colour (iii) : colour models and spaces
• Demystifying Colour (v) : colour gamuts
• Demystifying Colour (vi) : Additive vs. subtractive
• Digital photography: some things just aren’t possible
• Does flash photography affect museum artifacts?
• Every colour photograph is a manipulation of the truth
• Fixing photographs (e.g. travel snaps) (i)
• Fixing photographs (e.g. travel snaps) (ii)
• Fixing the “crop-factor” issue
• FOV and AOV
• From photosites to pixels (i) – the process
• From photosites to pixels (ii) – ADC
• From photosites to pixels (iii) – DIP
• How big are pixels?
• How do camera sensors work?
• How does digital ISO work?
• How good is High Dynamic Range (HDR) photography?
• How many colours are in a photograph?
• Image histograms tell a story
• Image sharpening in colour – how to avoid colour shifts
• In image processing, have we have forgotten about aesthetic appeal?
• In-camera keystone compensation (Olympus) (i)
• In-camera keystone compensation (Olympus) (ii)
• Is the eye equivalent to a 50mm lens?
• Mach bands and the perception of images
• Making a simple panorama
• Megapixels and sensor resolution
• More on Mach bands
• Myths about travel photography
• Optical blur and the circle of non-sharpness
• Photographic blur you can’t get rid of
• Photosites – Quantum efficiency
• Photosites – Well capacity
• Resolution of the human eye (i) pure pixel power
• Resolution of the human eye (ii) – visual acuity
• Resolution of the human eye (iii) – things that affect visual acuity
• Taking photos with an iPhone from a moving vehicle
• The camera does lie – a paradox of sorts
• The effect of crop sensors on lenses
• The facts about camera aspect ratio
• The low-down on crop sensors
• The origins of 35mm camera film
• The realization of colour
• The simplicity of achromatic photographs
• Those weird image sensor sizes
• Unsharp masking in ImageJ – changing parameters
• What is a crop factor?
• What is a pixel?
• What is motion parallax?
• Why aesthetic appeal in image processing matters
• Why are lenses round, and photos rectangular?
• Why camera sensors don’t have pixels
• Why do buildings lean? (the keystone effect)
• Why photographs need very little processing