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Trends:
Can Anything Stop the Growth in Camera
Phone Popularity?
--By Shri Sundaram,
Business Development Manager,
Toshiba America Electronic Components,
Inc.
The tsunami of digital
photos people are snapping today is
dramatically reshaping the entire digital
imaging ecosystem. Social networking
Websites such as MySpace and YouTube
have driven enormous increases in image
uploading, while the availability of
photo- and video-sharing sites ranging
from Flickr to iMovies have spurred
additional volumes of downloading.
And today, uploading and downloading
of photos and video occurs not just
to and from PCs, but among a wide range
of devices – PCs, laptops, PDAs
and camera phones.
ImaTuning™ Image
Sensor Calibration Tool
Designed for quick and
efficient color tuning, the new Toshiba
ImaTuning™ image sensor calibration
tool consists of both hardware and
software for rapid color calibration
and tuning of Toshiba CMOS image sensors
for cellular handsets and other mobile
applications.
Press
Release
ImaTuning™ Image
Sensor Calibration Tool
Designed for quick and
efficient color tuning, the new Toshiba
ImaTuning™ image sensor calibration
tool consists of both hardware and
software for rapid color calibration
and tuning of Toshiba CMOS image sensors
for cellular handsets and other mobile
applications.
Press
Release
Camera Phones
Explode with Growth
The camera phone is
the most disruptive of these devices.
Analyst firm Gartner notes that camera
phones accounted for 48 percent of
total worldwide mobile phones sales
in 2006 and will jump to 81 percent
by 2010.1 Unit sales of phones will
grow from 460 million handsets sold
in 2006 to one billion phones sold
by 2010.2
Poor picture quality,
limited camera phone memory and lack
of an "ecosystem " to move pictures
out of the phone and onto PCs or other
storage devices might have made camera
phones little more than a fad. But,
a new wave of emerging technologies
have both encouraged early adopters
to use their camera phones more and
attracted a new set of users that would
not have purchased a camera phone when
features were so limited. As a result,
just as digital still cameras dramatically
shrunk market demand for film cameras,
new and improved camera phones are
now impacting sales of digital still
cameras.
History
Repeats Itself as Camera Phones Replace
Digital Camera
As late as 2005, many
industry experts predicted that camera
phones would never replace digital
still cameras as the primary photography
device for consumers, citing "fuzzy" images,
low resolution and a host of other
issues. Many of these experts are the
same people who predicted that digital
cameras would never replace film cameras.
Today, camera phone sales
are surging as digital camera sales
are stalling. Among the reasons: digital
camera sales are reaching a saturation
point with current technology. Multiple
studies have shown that the average
U.S. family of four already owns two
or more digital cameras. On the other
hand, improved camera phone technology,
analyst firm Strategy Analytics notes
will result in camera phones capturing
15 percent of the low-end digital still
camera market by 2010.3
A recent survey by German
optics firm Schneider Kreuznach polled
1,000 users in the U.S., Germany, China
and India regarding their usage patterns,
highlights of their findings include:
- One out of four
respondents indicated that in the
future they would exclusively use
cell phones for picture-taking (early
adopters), provided the quality matched
that of today's upper mid-range digital
cameras with approximately 6 million
pixels.
- Under certain circumstances,
43 percent would be willing to replace
their digital camera with a suitable
cell phone. At present, only 32 percent
would still prefer a digital camera.
- Users in India
and China were particularly open-minded
towards cell phone photography: In
these countries, eight out of ten
of those questioned (79 percent)
could imagine using only cell phones
for picture-taking in future.
- While in India
and China more than half of all respondents
(60 and 52 percent respectively)
already take pictures with their
cell phones several times per week
and in the USA more than a quarter
(26 percent), Germany has the lowest
number of so-called 'power users'
(12 percent) and at the same time
the highest number of non-users (59
percent).4
It is not a matter of
if, but of when camera phones will
become the primary photography device
for consumers. Toshiba sums up this
trend with the chart below:
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As
digital still cameras proliferate,
film cameras have been relegated to
some professionals and hobbyists. This
trend will repeat itself with digital
cameras as camera phone features improve.
New Camera
Phone Technologies Enhance Image Quality
One
key trend in camera phone image sensors
is the shrinkage in pixel size. A standard
pixel in a digital still camera has
an area of 36µ² . The typical
camera phone pixel consumes an area
of 5µ². On the one hand,
the smaller pixels in a camera phone
enables higher resolution; on the other,
smaller pixels capture less light resulting
in poorer picture quality, especially
in low light conditions.
Another key trend is
the need for extended depth of field.
A normal feature of most digital still
cameras, this has been a feature that's
been missing in camera phones until
recently.
In optics, particularly
film and photography, the depth of
field (DOF) is the distance in front
of and beyond the subject that appears
to be in focus. There is only one distance
at which a subject is precisely in
focus, but focus falls off gradually
on either side of that distance, and
there is a region in which the blurring
is imperceptible under normal viewing
conditions.5
New solutions, such
as the Toshiba Wide Dynamic Range technology,
provide enhanced tonal quality at all
ranges. As image sensor developers
addressed low light condition issues,
their solutions created problems with
well-lit situations - images would
often bleach out.
While previous solutions
only provided a CMOS image sensor dynamic
range of up to 60 dB, the new Toshiba
Wide Dynamic Range technology extends
this to 92 dB. Camera phones can now
capture high-quality images in both
low-light and bright-light situations.
Improvements in image
sensors combined with new features
such as auto focus and zoom within
the camera phone are combining with
other advancements to create a complete
camera phone "ecosystem" that consumers
are using to share, store and print
camera phone images as easily as they
do digital still camera images. Among
these:
- Advancements in
cellular networks in the form of
both upgrading 2G networks with technologies
such as EV-DO, as well as the spread
of 3G networks (in several flavors,
such as GSM, GPRS and UMTS), makes
it easier and faster for consumers
to send their photos.
- Camera phone memory
capacity is increasing rapidly and
shrinking in size to accommodate
the storage of more images.
- Camera phone display
quality is improving. While VGA screens
are too expensive today, prices are
coming down.
- Handset manufacturers
are designing a new breed of phone
that includes a larger screen. For
example, certain new models pivot
90° vs. flipping up to provide a
screen with an aspect ratio much
closer to today's 4:3 or 16:9. As
a result, the screen size is nearly
the same as the footprint for the
entire phone.
- Manufacturers
are also integrating additional radios
into phones, such as Bluetooth, WiFi
and soon WiMax to give consumers
additional options for their photos,
sharing with friends, moving onto
a PC or storage device, etc.
Lyra Research notes that
by late 2008 or early 2009, "The cumulative
number of camera phones shipped will
surpass the cumulative number of both
conventional and digital cameras shipped
in the entire history of photography
– and camera phones will have been
on the market for less than a decade." 6 As
the march of new technologies continues,
even today's camera phones will give
way to "intelligent" phones that include
features such as image recognition
– where the camera will "recognize" a
person or scene being photographed
and group like photos together. New
features are limited only by manufacturers'
imaginations.
References
1 iT Wire,
"Every Cell Phone a Camera-Phone Soon,
Says Gartner," November 6, 2006.
2 iT Wire, "Every Cell Phone
a Camera-Phone Soon, Says Gartner," November
6, 2006.
3 Digital Camera Info.com, "Camera
Phones Outsell Digital Cameras," by
Emily Raymond.
4 Let's Go Digital.com, "Cell
Phones Replace Digital Cameras," by
Ralf Jurrien, February 11, 2007.
5 www.wikipedia.org.
6 Lyra Research, "Pictures
at Hand: 2006 Worldwide Camera Phone
Market Report," Introduction, October
4, 2006.
All trademarks and
trade names used in this article are
the properties of their respective
owners, and may be registered in certain
jurisdictions; |
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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 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. As a result, Toshiba
holds a significant share of the market
and now ranks as #4 in CMOS image sensors
according to a report on the CCD/CMOS
image sensor market, published in June
2010 by Techno Systems Research.
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:
1. Unique pixel structure
development
2. Proprietary semiconductor process
technology
3. Advanced micro lens and color filter
technology
4. 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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