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CMOS IMAGE
SENSORS
Toshiba's versatile and
high-quality CMOS image sensors open
up new possibilities for mobile devices.
The family of CMOS image sensors includes
a range of resolutions from VGA to 12
megapixels and meets market needs for
smaller form factors and higher performance
with pixel sizes as small as 1.4-µm
pixel pitch up to 2.2-µm. Toshiba
leads innovation by incorporating the
latest technologies such as backside
illumination (BSI) and Chip Scale Camera
Modules (CSCMs).
Products
Technology
Toshiba is a leader in advanced CMOS image sensor technology. The Toshiba CMOS image sensors employ a low-noise pixel structure that achieves high-picture quality with low-power consumption, even in low-light conditions for camera phones and other mobile applications. The latest technologies now available from Toshiba includes a line of products that feature ultra-compact chip scale camera modules (CSCM) which reduces module size by 64 percent compared to other modules using the same sensor and backside illumination (BSI) that enables best-in-class low-light sensitivity, better absorption and higher-quality images.
Technology
New CMOS Image Sensors Feature Low Power and High Performance for Phones, Tablets and Notebooks
Toshiba rounds out its industry-leading complementary metal oxide semiconductor (CMOS) image-sensor product offering. The T4K08 is Toshiba's first native 720p HD format sensor combining 1.75 µm front side illumination (FSI) pixel technology with SoC image processing on the chip. The T4K24 is Toshiba's first native 1080p FHD format 1.75 µm front side illumination (FSI) pixel technology sensor. These devices deliver low power and high performance in a small form-factor solution for camera systems being deployed in today's phones, tablets and notebook computers using front facing cameras.
Press Release
New Image Sensor Supports High Image Resolution in Small Form Factor; Targets Portable Digital Applications
Toshiba launches second product in a family of CMOS image sensors with back-side illumination technology (BSI). The T4K05 offers the industry's smallest pixel size (1.12 micrometers) with enhanced sensitivity and improved imaging performance though the use of BSI. Thanks to their ability to conform to tight form factors and still capture high-definition images, Toshiba expects BSI CMOS image sensors to become a mainstream technology in a variety of portable digital devices, ranging from mobile phones and digital cameras to smartphones and tablets.
Press Release
Datasheets for Toshiba
images sensors and Chip Scale Camera
Modules are available under NDA. Contact TechQuestions for more information.
6Sight -
The Future of Imaging
Panel:
Smarter Camera Phones Featuring: Jean
Chao, Toshiba America Electronic Components,
Inc.
The panel addresses the multiple factors
that have contributed to getting mobile
imaging to mainstream status, but the
one that really drove consumers to finally
use the camera in their phone is the
rise of the smart phone, which made
the cameras usable and useful - and
fun - in an almost unlimited number
of ways. |
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Toshiba:
the Leader "Behind the Scenes" in Image
Sensors
Toshiba is a pioneer and
world leader in image sensor technology
- both for charged-coupled devices (CCDs)
and complementary metal oxide semiconductor
(CMOS) image sensors. Toshiba's leadership advancement
and technology refinement during 20 plus
years of designing, developing and manufacturing
image sensors, includes over 10 years
in the specific development of CMOS
image sensors, the heart of the camera
phone.
Why
Toshiba
Tech Challenge
101
The Tech Challenge 101
initiative is designed to help marketing
and corporate executives expand their
knowledge of CMOS image sensor technology
and cell phone design through a quick-read
series of focused insights and articles.
 Featured
Articles:
"Color
Theory Behind the Scene "
"Image
Sensor Characterization"
5 Reasons
Toshiba Has Your Back
 |
| Why
corner yourself? See
why Toshiba is preferred
by world-leading mobile
phone makers. |
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Choosing
the Right Image Sensor for Camera Phones
There are many criteria
that can be used to choose an image
sensor. Some of them are qualitative/subjective
and some are quantitative/objective.
When shopping for a CMOS image sensor
for a camera phone, there are a few
important "must know" quantitative metrics
to keep in mind. They are:
1. Pixel density - pixel density is a fundamental
part of an image sensor's performance;
the more pixels the sensor has, the
more detailed the picture can be. But
when selecting an image sensor, designers
should not look at pixel count alone.
As pixels decrease in size, they also
decrease in performance. In order to
add more pixels to sensors without compromising
image quality, sensor vendors are working
with a variety of new technologies to
enhance pixel performance, and designers
should be aware of what pixel technologies
their vendors are using to boost performance
as they shrink pixel size.
2. Sensitivity - sensitivity measures the
response of the sensor to light stimulus.
It is often measured as mV/lux·sec.
More
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CMOS Image Sensor Technology
Toshiba is a leader in advanced CMOS image sensor technology. The Toshiba CMOS image sensors employ a low-noise pixel structure that achieves high-picture quality with low-power consumption, even in low-light conditions for camera phones and other mobile applications. The latest technologies now available from Toshiba include High Dynamic Range (HDR) for more detail in dark and light areas; Color Noise Reduction (CNR) for truer colors; backside illumination (BSI) for better image quality even in low-light conditions.
High Dynamic Range
- Better image quality
- More detail in dark and light areas
- Truer colors with a wider range of intensity
Toshiba's latest CMOS image sensors employ high dynamic range (HDR) technology. HDR delivers better image quality and brighter, truer colors by accurately representing the wide range of intensity levels found in direct sunlight and in the deepest shadows.
Non-HDR cameras take pictures at one exposure level with limited contrast range, which results in the loss of detail in the bright or dark areas of a picture, depending on the setting of the camera. HDR compensates for this loss of detail by taking multiple pictures at different exposure levels and intelligently stitching them together to produce a picture that is representative in both dark and bright area.
Alternate Row, Dual Exposure HDR
The Toshiba image sensors employ an alternate-row, dual exposure HDR technology, which not only significantly improves dynamic range, but also reduces motion artifacts and eliminates frame buffer requirement without compromising frame resolution or speed. The Toshiba HDR solution offers a powerful tool for various scene options and optimal user experience.
Image Sensor With HDR
| Part Number |
Resolution |
Application |
| T4K37 |
13MP |
Mobile, Portable Products |
| T4K35 |
8MP |
Mobile, Portable Products |
| T4K05 |
8MP |
Mobile, Portable Products |
| TCM5114 |
VGA |
Automotive, Security, Surveillance |
Compare Image Quality with HDR
Color Noise Reduction
- Improves signal to noise ratio
- Better image quality
- Truer colors
As pixel size decreases due to miniaturization in today's image sensors light sensitivity has decreased resulting in signal noise, which appears as color speckles reducing image quality. However, when integrating a color noise reduction (CNR) filter with backside illumination (BSI) technology optimum image quality results. For example, the Toshiba T4K37 CMOS image sensor with a 1.12 micrometer pixel and CNR provides approximately 1.5* times higher signal to noise ratio (SNR ) value than a 1.12 micrometer pixel image sensor without CNR and also provides an SNR value equivalent to a 1.4 micrometer pixel image sensor without CNR.
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Image Sensors With CNR
| Part Number |
Resolution |
Application |
| T4K37 |
13MP |
Mobile, Portable Products |
| T4K35 |
8MP |
Mobile, Portable Products |
Compare Image Quality with CNR- click image for larger view:
Backside Illumination Technology
- Better light absorption
- Increased light sensitivity
- Combined with CNR for optimum image quality
As pixel sizes shrink there is a reduction in the amount of light available to be captured by the photodiodes. BSI solves this problem by deploying lenses on the silicon substrate behind the sensor and not on the front where wiring interferes with light absorption. "Backside" positioning boosts light sensitivity and absorption by 40% compared to conventional technologies, and allows formation of finer image pixels. Toshiba has made full use of the advantages of BSI to realize image pixels with a pitch of 1.12 microns, and to pack 13.1 million of them into a 1/3.07-inch optical format sensor that meets high level imaging and processing requirements. Toshiba will continue to offer image sensors with smaller and smaller pixel sizes that utilize BSI technology bringing a new level of quality and smaller form factor to mobile phone applications.
Image Sensors With BSI
| Part Number |
Resolution |
Other Features |
Application |
| T4K04 |
8MP |
|
Mobile, Portable Products |
| T4K05 |
8MP |
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Mobile, Portable Products |
| T4K34 |
8MP |
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Mobile, Portable Products |
| T4K35 |
8MP |
CNR |
Mobile, Portable Products |
| T4K37 |
13MP |
CNR |
Mobile, Portable Products |
Conventional Imge Sensor/BSI - click image for larger view: 
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Toshiba:
the Leader "Behind the Scenes" in Image
Sensors
Toshiba is a pioneer and
world leader in image sensor technology
both for charged-coupled devices (CCDs)
and complementary metal oxide semiconductor
(CMOS) image sensors. Toshiba's leadership
advancement and technology refinement
during 20 plus years of designing, developing
and manufacturing image sensors, includes
over 10 years in the specific development
of CMOS image sensors, the heart of
the camera phone.
5 Reasons
Toshiba Has Your Back
Why corner yourself?
See why Toshiba is preferred by world-leading
mobile phone makers.
 |
| Why
corner yourself? See
why Toshiba is preferred
by world-leading mobile
phone makers. |
|
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Toshiba's market strength
in image sensor-based camera applications
is based on superior image quality,
consistently innovative products and
on the strong relationships forged with
top-tier mobile phone manufacturers.
Tight engineering and procurement team
relationships, as well as superior "Benchmark"
customer service have become the hallmark
of Toshiba.
Preferred
Camera Phone Image Quality
The Toshiba portfolio
encompasses a family of CMOS image sensors
from VGA and above for predominately
high-end, camera-enabled mobile phone
handset applications, including Smart-phones. |
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Toshiba
CMOS image sensors employ a unique pixel
design that enable high-quality images
with both high sensitivity and signal-to-noise
ratio, even in low-light conditions.
Based on TAEC evaluation, CMOS image
sensors have proven their superiority
in image quality comparisons by offering
demonstrably better colorrepresentation
and low-light performance compared to
other leading CMOS image sensor products.
Toshiba image sensors deliver best-in-class
image quality through continued innovations
in:
- Backside Illumination technology (BSI)
- Unique pixel structure
development
- Proprietary semiconductor process
technology
- Advanced micro lens and color filter
technology
- Proprietary image pipeline technology
Market-Driven
Engineering and Manufacturing
Toshiba is dedicated to
the development and application engineering
of imaging products. Two of the company's
wafer fabs, located in Iwate and Oita,
Japan, are focused on CCD and CMOS image
sensor manufacturing. A large number
of module partners design, develop and
deliver camera and sensor modules using
Toshiba image sensor wafers.
To stay current with the
latest technology developments, emerging
applications and standards, Toshiba
plans a multi-billion dollar investment
in Capex and R&D over the next several
years. |
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Tech
Challenge 101
Archived
Articles
The Tech Challenge
101 initiative is designed to
help marketing and corporate executives
expand their knowledge of CMOS
image sensor technology and cell
phone design through a quick-read
series of focused insights and
articles. Please check back periodically
for new tech topics.
Featured
Article: "Color
Theory Behind the Scene: Color
Calibration of a CMOS Image Sensor" --By John
Lin, Senior Design Engineering
Manager, Toshiba America Electronic
Components, Inc.
Highlights:
- How the human
eye perceives color plays an
important role in developing
good image quality with accurate
color representation.
- Light is considered
a form of electromagnetic radiation.
The visible wavelength is from
380 to 780nm. The color of the
light depends on the distribution
over the spectrum. Different
wavelengths appear as different
colors.
- The color
of an object is defined by two
spectra: the surface reflectance
of the object and the light
source shining on it. The product
of these two spectra is the
light that enters the eye and
stimulates the cones.
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Understanding
Color Representation
Accurate
color representation is one of
the most important aspects in
evaluating the image quality of
an image sensor. To fully understand
color representation, one must
first be knowledgeable in the
age-old science of color theory
and how it plays a critical role
behind the scene in converting
the real world into electronic
images using advanced image sensor
technology.
To explain, in
a simple fashion, how color is
reproduced and calibrated in the
CMOS image sensor from Toshiba
using a software-based system,
it is important to first cover
the topic of color vision. How
the human eye perceives color
plays an important role in developing
good image quality with accurate
color representation. |
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| What
a Study of Color Vision Reveals |
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This article discusses
color theory and how it is used
in CMOS image sensor color reproduction
from sensor to printer and display.
Human
Vision
Human vision starts
with light striking the retina.
The photoreceptor cells in the
retina encode light into signals
that are interpreted by the brain
to generate the perception of
color. There are two basic types
of cells-cone and rod. Cones generate
the color perception information
and rods are responsible for night
vision. There are three type of
cones that are sensitive to different
wavelengths of light-long, medium
and short wavelength cones or
informally red, green and blue
cones.
Visible
Light - A Function of Spectral
Distribution
Light is considered
a form of electromagnetic radiation.
The visible wavelength is from
380 to 780nm. The color of the
light depends on the distribution
over the spectrum. Different wave-lengths
appear as different colors. Fig.
1 shows 10 types of spectral distribution
of 10 daylight sources. The area
beneath the curve is the density
of the energy, which is a measure
of brightness to human vision.
Cone
Response Curves
The cone and rod
cells show the following absorption
characteristics.
Normalized
absorption spectra of human cone
Colored
Object
The color of an
object is defined by two spectra:
the surface reflectance of the
object and the light source shining
on it. The product of these two
spectra is the light that enters
the eye and stimulates the cones.
Color
Vision
The signal sent
to the brain is the product of
input stimulate and the cone response.
This is the foundation of the
color vision theory.
Trichomacy
and Metamersion
The encoding created
by the cones means that every
spectrum is represented by exactly
three signals. This is the principle
of trichromacy. Digital colors
are encoded as three primary colors
due to trichromacy. The principle
of metamerism states that different
spectra that produce the same
encoded signals look like the
same color to the human eye. Color
is defined by the product of cone
response multiplied by input spectrum,
not the spectrum alone. This means
that if two light sources have
the same apparent color, then
they will have the same tristimulus
values, no matter what different
mixtures of light were used to
produce them.
The principle of
metamerism underlies all color
reproduction technologies. Instead
of reproducing the original spectrum
distribution of the color, it
is possible to create an equivalent
response or metameric match by
mixing the three colors.
Trichromacy and
metamerism are used to create
instruments that measure color.
They allow colored material to
be described quantitatively and
create metrics that define when
colors match. |
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Colorimetry
Colorimetry is
the science of color measurement.
It is based on the study of human
matching colors. Colorimetry is
used to create color-matching
functions that can be used to
convert any spectrum into a standard
encoding.
CIE
1931 Color Space
As mentioned, cone
response and trichromacy are the
foundation of color theory. In
order to measure color with three
numbers, the concept of color
space is used to associate and
visualize a color with three numbers.
One of the first
mathematically defined color spaces
was the CIE XYZ color space (also
known as CIE 1931 color space),
created by the International Commission
on Illumination (CIE) in 1931.
However, the CIE XYZ color space
is unique, because it is based
on direct measurements of the
human eye, and serves as the basis
from which many other color spaces
are defined. In the CIE XYZ color
space, the tristimulus values
are not the S, M, and L stimuli
of the human eye, but rather a
set of tristimulus values called
X, Y, and Z, which are also roughly
red, green and blue, respectively.
In the 1920s, W.
David Wright and John Guild independently
conducted a series of experiments
on human sight, which laid the
foundation for the specification
of the CIE XYZ color space.
The experiments
were conducted by using a circular
split screen two degrees in size,
which is the angular size of the
human fovea. On one side of the
field a test color was projected
and on the other side, an observer-adjustable
color was projected. The adjustable
color was a mixture of three primary
colors, each with fixed chromaticity,
but with adjustable brightness.
The observer would alter the brightness
of each of the three primary beams
until a match to the test color
was observed. Not all test colors
could be matched using this technique.
When this was the
case, a variable amount of one
of the primaries could be added
to the test color, and a match
with the remaining two primaries
was carried out with the variable
color spot. For these cases, the
amount of the primary added to
the test color was considered
to be a negative value. In this
way, the entire range of human
color perception could be covered.
When the test colors were monochromatic,
a plot could be made of the amount
of each primary used as a function
of the wavelength of the test
color. These three functions are
called the color matching functions
for that particular experiment.
Based on the result,
in 1931, CIE standardized the
color matching function (CMF)
by mathematical transformation
(into x,y,z) in which there is
no longer any negative value.
It is an abstract curve now. No
physical light can generate the
function.

The CIE 1931 Standard Colorimetric
Observer XYZ functions is the
CMF now widely used. The XYZ color
space is calculated using the
formula shown left.
References
1) Maureen C. Stone,
"A Field Guide to Digital
Color", A.K. Peters, Ltd,
2003
2) www.wikipedia.org |
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| Peer-to-Peer
Q & A |
Toshiba
has pulled together a peer team deeply
in volved in the technology, marketing
and finance of CMOS Image Sensors. We
believe that a Peer-to-Peer Question
and Answer format provides the right
venue to address your immediate questions.
Just click on the link
below, complete your contact information,
type in your CMOS image sensor question,
and you will hear from us soon. Ask
Toshiba now. |
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| Technical |
What
are the tradeoffs between
a Fixed Focus Module and an
Auto Focus Module assuming
both modules are using the
same image sensor die? |
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Answer:
A Fixed Focus Module's lens
is in a fixed position within
the module. Therefore, there
is an optimum distance from
the module where the image
of the object will be the
sharpest. At any other distance,
closer or further away, the
object's image will be not
as sharp. Auto Focus Module
has a AF Driver inside that
physically adjusts the lens
position based on the Image
Signal Processor's Auto Focus
Algorithm. This means that
the distance from the module
where the image of the object
will be the sharpest can be
adjusted. However, once the
position is fixed, any object
closer or farther than the
new focused distance, will
not be as sharp. If that is
the case, why would anyone
want a Fixed Focus Module?
Well, it all comes down to
cost and reliability. At a
minimum, the Fixed Focus Module
does not need the Auto Focus
Module's Auto Focus Actuator.
Also, since the Auto Focus
Actuator is mechanical, it
is more prone to breakage
than a Fixed Focus Module. |
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What
are the tradeoffs between
sensitivity and pixel size? |
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Answer:
Sensitivity is a measure that's
independent of the size of
the pixel or package dimension.
It is the measure of an image
sensor pixel's ability to
sense the photons (light)
and generate electrons (signal)
depending on the frequency
(color) and luminance (brightness)
of the light. However, smaller
pixel means fewer photons,
which in turn means fewer
electrons. So, smaller pixels
lead to smaller output signal.
When the pixel size gets smaller,
emphasis is given on reducing
noise levels proportionally. |
| Marketing |
What new applications are
being developed for cell phone
cameras? |
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Answer:
A traditional application
has been the point-and-shoot
camera. However, newer applications
that are on the horizon include
video conferencing, camcorders,
barcode scanning, pattern
recognition, etc. |
| Finance |
How
can using a Chip Scale Camera
Module reduce my overall bill
of material (BOM) costs? |
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Answer:
Toshiba's Chip Scale Camera
Module (CSCM) is reflowable/solderable.
Therefore, you can solder
Toshiba's CSCM directly onto
the PCB. There is no need
to pay for an extra socket
like conventional socketable
modules. Please contact Toshiba
and your preferred PCB supplier
to work out the technical
details. |
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What
are the primary cost contributors
(components) of a camera module
used in a Supply Chain cellular
telephone? |
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Answer:
The primary components that
go into an image sensor module
include an image sensor (with
imaging area and usually A/D
converter) mounted on a PCB,
image signal processor, base
and IR cut filter, lens barrel,
and lens. Generally, in higher
resolution camera modules,
the auto focus and optical
zoom functions are also cost
components. |
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