Victoria RASCals Star Party 2003 – David Lee. Extending Human Vision Film and Sensors The Limitations of Human Vision Physiology of the Human Eye Film.

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Presentation transcript:

Victoria RASCals Star Party 2003 – David Lee

Extending Human Vision Film and Sensors The Limitations of Human Vision Physiology of the Human Eye Film Electronic Sensors The Digital Advantage

The Limitations of Human Vision Poor low light sensitivity, unable to accumulate light Poor low light sensitivity, unable to accumulate light Difficulty in viewing through a constantly changing atmosphere … viewing from the bottom of a swimming pool Difficulty in viewing through a constantly changing atmosphere … viewing from the bottom of a swimming pool Unable to see certain wavelengths of light Unable to see certain wavelengths of light

CONES Colour Average Count 6 to 7 Million Acuity and Resolution B&W RODS Average Count 120 Million Low light sensitivity and motion detection Physiology of the Human Eye

Rhodopsin – light absorbing pigment With dark adaptation there is an increase in sensitivity up to the 500 nm wavelength

How do we optimize what we see at night? Dark adaptation – Rhodopsin builds in 20 to 30 minutes to give a magnitude difference of 2 to 6 magnitudes Dark adaptation – Rhodopsin builds in 20 to 30 minutes to give a magnitude difference of 2 to 6 magnitudes Averted vision – rod vision is 4 magnitudes more sensitive than cone vision Averted vision – rod vision is 4 magnitudes more sensitive than cone vision

How do we optimize what we see at night? Attention – conditions in the night sky are variable and change rapidly, observing requires attention and time Attention – conditions in the night sky are variable and change rapidly, observing requires attention and time Practice – experience is what trains the brain to perceive detail Practice – experience is what trains the brain to perceive detail

Sketching Sketches by Richard Harvey

Film

The Structure and Characteristics of Film Film is a light sensitive material that can be used to capture a virtual image from optics Film is a light sensitive material that can be used to capture a virtual image from optics Composed of silver crystals that change when exposed to light Composed of silver crystals that change when exposed to light Chemicals are used to produce dense areas of metallic silver where light is strongest Chemicals are used to produce dense areas of metallic silver where light is strongest

The Structure and Characteristics of Film Sensitivity, granularity and colour sensitivity are characteristics of film Sensitivity, granularity and colour sensitivity are characteristics of film Films with large silver crystals will be more sensitive but will suffer from higher granularity and a lessening of detail Films with large silver crystals will be more sensitive but will suffer from higher granularity and a lessening of detail Every film has a colour signature, sensitivity to specific wavelengths vary Every film has a colour signature, sensitivity to specific wavelengths vary

Film Vision By substituting film we are able to accumulate light for dim objects By substituting film we are able to accumulate light for dim objects Although light can be accumulated reciprocity law failure sets it, this varies with each type of film Although light can be accumulated reciprocity law failure sets it, this varies with each type of film Enhance the detection of wavelengths the human eye is less sensitive to Enhance the detection of wavelengths the human eye is less sensitive to

Film Vision Film can be hypered to remove moisture, increasing the sensitivity Film can be hypered to remove moisture, increasing the sensitivity Chilling film for increased sensitivity has also been used Chilling film for increased sensitivity has also been used

Aurora

Comet Hale-Bopp

Constellations

Star trails – Orion’s Belt

Electronic Sensors

CCD (Charged Couple Device) sensor CCD (Charged Couple Device) sensor CMOS (Complementary Metal Oxide Semiconductor) sensor CMOS (Complementary Metal Oxide Semiconductor) sensor Monochrome vs. Colour Mosaic Monochrome vs. Colour Mosaic

Electronic Sensors CCD – charged coupled device CCD – charged coupled device Found in video cameras, webcams, digital cameras Composed of a grid of photosites that are light sensitive Photosite size varies and accounts for different levels of sensitivity between sensors Larger photosites have less noise

Electronic Sensors CMOS Sensor CMOS Sensor CMOS sensors are manufactured using the same methods as computer microprocessors and are less expensive because of this Lower power consumption Traditionally more noisy and less sensitive than CCD New technology has made recent CMOS sensors on par with CCD quality

Electronic Sensors Monochrome Monochrome Some sensors are monochromatic Colour images must be created using individual RGB or CMY filtered exposures

REDGREENBLUE CYANMAGENTAYELLOW

Electronic Sensors Colour mosaic Colour mosaic Sensors can be made colour sensitive by applying a colour mosaic to the sensor This is done by applying filters to each photosite in a set pattern The most common pattern is the Bayer pattern Processing is required to determine a photosite’s colour value

Sensor Vision Sensors have the same ability to accumulate light for dim objects Sensors have the same ability to accumulate light for dim objects In addition to accumulating light the response is linear as opposed to film’s characteristic of diminishing returns (reciprocity failure) In addition to accumulating light the response is linear as opposed to film’s characteristic of diminishing returns (reciprocity failure) Increased electronic noise is a factor in long exposures Increased electronic noise is a factor in long exposures

Sensor Vision Sensors with colour mosaics may have artifacts associated with the translation of the colour pattern especially in areas of colour transition Sensors with colour mosaics may have artifacts associated with the translation of the colour pattern especially in areas of colour transition Processing times are dependant on the device the sensor is attached to Processing times are dependant on the device the sensor is attached to All sensors are subject to photosite defects such as permanently on or permanent off photosites often mapped out by the device manufacturer All sensors are subject to photosite defects such as permanently on or permanent off photosites often mapped out by the device manufacturer

Sensor Vision Sensor images are inherently soft and require post-capture processing Sensor images are inherently soft and require post-capture processing Sensors are heat-sensitive and for best results require cooling, noise reduction processing during or after capture … or all of the above Sensors are heat-sensitive and for best results require cooling, noise reduction processing during or after capture … or all of the above Sensors by nature are statically charged and attract dust, this is a maintenance problem especially with devices where the sensor is exposed while being attached to optical systems Sensors by nature are statically charged and attract dust, this is a maintenance problem especially with devices where the sensor is exposed while being attached to optical systems

The Digital Advantage Why use electronic sensors with all their problems? Why use electronic sensors with all their problems? Immediate feedback Immediate feedback Ability to have a large number of images in a cost effective manner … so you only keep the good ones Ability to have a large number of images in a cost effective manner … so you only keep the good ones Image processing can reduce noise to reveal detail Image processing can reduce noise to reveal detail “Grain” structure in high sensitivity settings can be superior to the equivalent speed in film “Grain” structure in high sensitivity settings can be superior to the equivalent speed in film

Conjunctions

Partial Solar Eclipse

Pleiades

Andromeda Galaxy

The Digital Workflow for Long Exposures and Uncooperative Subjects Systemic electronic noise – remove with noise reduction or dark frame subtraction Systemic electronic noise – remove with noise reduction or dark frame subtraction Systemic optical defects – remove vignetting and dust in the optical system with flat frames Systemic optical defects – remove vignetting and dust in the optical system with flat frames Capture large sample of images – cull for the best Capture large sample of images – cull for the best Remove random noise to reinforce “good” signal – stack images in registration Remove random noise to reinforce “good” signal – stack images in registration

Questions and Contact Information