Casio Exilim QV-R100 vs. Casio QV-2000UX
Comparison
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| Casio Exilim QV-R100 | Casio QV-2000UX | ||||
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Megapixels
14.10
1.90
Max. image resolution
4320 x 3240
1600 x 1200
Sensor
Sensor type
CCD
CCD
Sensor size
1/2.3" (~ 6.16 x 4.62 mm)
1/2" (~ 6.4 x 4.8 mm)
Sensor size comparison
Sensor size is generally a good indicator of the quality of the camera.
Sensors can vary greatly in size. As a general rule, the bigger the
sensor, the better the image quality.
Bigger sensors are more effective because they have more surface area to capture light. An important factor when comparing digital cameras is also camera generation. Generally, newer sensors will outperform the older.
Learn more about sensor sizes »
Bigger sensors are more effective because they have more surface area to capture light. An important factor when comparing digital cameras is also camera generation. Generally, newer sensors will outperform the older.
Learn more about sensor sizes »
Actual sensor size
Note: Actual size is set to screen → change »
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| Casio Exilim QV-R100 | Casio QV-2000UX | |
Surface area:
| 28.46 mm² | vs | 30.72 mm² |
Difference: 2.26 mm² (8%)
QV-2000UX sensor is approx. 1.08x bigger than Exilim QV-R100 sensor.
Note: You are comparing sensors of vastly different generations.
There is a gap of 12 years between Casio Exilim QV-R100 (2011) and
Casio QV-2000UX (1999).
Twelve years is a huge amount of time,
technology wise, resulting in newer sensor being much more
efficient than the older one.
Pixel pitch tells you the distance from the center of one pixel (photosite) to the center of the next. It tells you how close the pixels are to each other.
The bigger the pixel pitch, the further apart they are and the bigger each pixel is. Bigger pixels tend to have better signal to noise ratio and greater dynamic range.
The bigger the pixel pitch, the further apart they are and the bigger each pixel is. Bigger pixels tend to have better signal to noise ratio and greater dynamic range.
Pixel or photosite area affects how much light per pixel can be gathered.
The larger it is the more light can be collected by a single pixel.
Larger pixels have the potential to collect more photons, resulting in greater dynamic range, while smaller pixels provide higher resolutions (more detail) for a given sensor size.
Larger pixels have the potential to collect more photons, resulting in greater dynamic range, while smaller pixels provide higher resolutions (more detail) for a given sensor size.
Relative pixel sizes:
vs
Pixel area difference: 14.22 µm² (704%)
A pixel on Casio QV-2000UX sensor is approx. 704% bigger than a pixel on Casio Exilim QV-R100.
Pixel density tells you how many million pixels fit or would fit in one
square cm of the sensor.
Higher pixel density means smaller pixels and lower pixel density means larger pixels.
Higher pixel density means smaller pixels and lower pixel density means larger pixels.
To learn about the accuracy of these numbers,
click here.
Specs
Casio Exilim QV-R100
Casio QV-2000UX
Total megapixels
2.10
Effective megapixels
1.90
Optical zoom
Yes
3x
Digital zoom
Yes
Yes
ISO sensitivity
Auto, 100 - 1600
RAW
Manual focus
Normal focus range
10 cm
50 cm
Macro focus range
5 cm
20 cm
Focal length (35mm equiv.)
27 - 108 mm
36 - 108 mm
Aperture priority
No
Yes
Max. aperture
f2.9 - f6.5
f2.0 - f2.8
Metering
Centre weighted, Multi-pattern, Spot
Multi, Center-weighted, Spot
Exposure compensation
±2 EV (in 1/3 EV steps)
±2 EV (in 1/3 EV steps)
Shutter priority
No
Yes
Min. shutter speed
15 sec
1 sec
Max. shutter speed
1/2000 sec
1/800 sec
Built-in flash
External flash
Viewfinder
None
Optical (tunnel)
White balance presets
6
4
Screen size
2.7"
1.8"
Screen resolution
230,400 dots
61,380 dots
Video capture
Max. video resolution
Storage types
SDHC, Secure Digital
Compact Flash
USB
USB 2.0 (480 Mbit/sec)
USB 1.0
HDMI
Wireless
GPS
Battery
Li-Ion
AA (4) batteries (NiMH recommended)
Weight
103 g
320 g
Dimensions
98.8 x 53.0 x 20.7 mm
130 x 75 x 60 mm
Year
2011
1999
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Diagonal
Diagonal is calculated by the use of Pythagorean theorem:
where w = sensor width and h = sensor height
| Diagonal = √ | w² + h² |
Casio Exilim QV-R100 diagonal
The diagonal of Exilim QV-R100 sensor is not 1/2.3 or 0.43" (11 mm) as you might expect, but approximately two thirds of
that value - 7.7 mm. If you want to know why, see
sensor sizes.
w = 6.16 mm
h = 4.62 mm
w = 6.16 mm
h = 4.62 mm
| Diagonal = √ | 6.16² + 4.62² | = 7.70 mm |
Casio QV-2000UX diagonal
The diagonal of QV-2000UX sensor is not 1/2 or 0.5" (12.7 mm) as you might expect, but approximately two thirds of
that value - 8 mm. If you want to know why, see
sensor sizes.
w = 6.40 mm
h = 4.80 mm
w = 6.40 mm
h = 4.80 mm
| Diagonal = √ | 6.40² + 4.80² | = 8.00 mm |
Surface area
Surface area is calculated by multiplying the width and the height of a sensor.
Exilim QV-R100 sensor area
Width = 6.16 mm
Height = 4.62 mm
Surface area = 6.16 × 4.62 = 28.46 mm²
Height = 4.62 mm
Surface area = 6.16 × 4.62 = 28.46 mm²
QV-2000UX sensor area
Width = 6.40 mm
Height = 4.80 mm
Surface area = 6.40 × 4.80 = 30.72 mm²
Height = 4.80 mm
Surface area = 6.40 × 4.80 = 30.72 mm²
Pixel pitch
Pixel pitch is the distance from the center of one pixel to the center of the
next measured in micrometers (µm). It can be calculated with the following formula:
| Pixel pitch = | sensor width in mm | × 1000 |
| sensor resolution width in pixels |
Exilim QV-R100 pixel pitch
Sensor width = 6.16 mm
Sensor resolution width = 4330 pixels
Sensor resolution width = 4330 pixels
| Pixel pitch = | 6.16 | × 1000 | = 1.42 µm |
| 4330 |
QV-2000UX pixel pitch
Sensor width = 6.40 mm
Sensor resolution width = 1589 pixels
Sensor resolution width = 1589 pixels
| Pixel pitch = | 6.40 | × 1000 | = 4.03 µm |
| 1589 |
Pixel area
The area of one pixel can be calculated by simply squaring the pixel pitch:
You could also divide sensor surface area with effective megapixels:
Pixel area = pixel pitch²
You could also divide sensor surface area with effective megapixels:
| Pixel area = | sensor surface area in mm² |
| effective megapixels |
Exilim QV-R100 pixel area
Pixel pitch = 1.42 µm
Pixel area = 1.42² = 2.02 µm²
Pixel area = 1.42² = 2.02 µm²
QV-2000UX pixel area
Pixel pitch = 4.03 µm
Pixel area = 4.03² = 16.24 µm²
Pixel area = 4.03² = 16.24 µm²
Pixel density
Pixel density can be calculated with the following formula:
One could also use this formula:
| Pixel density = ( | sensor resolution width in pixels | )² / 1000000 |
| sensor width in cm |
One could also use this formula:
| Pixel density = | effective megapixels × 1000000 | / 10000 |
| sensor surface area in mm² |
Exilim QV-R100 pixel density
Sensor resolution width = 4330 pixels
Sensor width = 0.616 cm
Pixel density = (4330 / 0.616)² / 1000000 = 49.41 MP/cm²
Sensor width = 0.616 cm
Pixel density = (4330 / 0.616)² / 1000000 = 49.41 MP/cm²
QV-2000UX pixel density
Sensor resolution width = 1589 pixels
Sensor width = 0.64 cm
Pixel density = (1589 / 0.64)² / 1000000 = 6.16 MP/cm²
Sensor width = 0.64 cm
Pixel density = (1589 / 0.64)² / 1000000 = 6.16 MP/cm²
Sensor resolution
Sensor resolution is calculated from sensor size and effective megapixels. It's slightly higher
than maximum (not interpolated) image resolution which is usually stated on camera specifications.
Sensor resolution is used in pixel pitch, pixel area, and pixel density formula.
For sake of simplicity, we're going to calculate it in 3 stages.
1. First we need to find the ratio between horizontal and vertical length by dividing the former with the latter (aspect ratio). It's usually 1.33 (4:3) or 1.5 (3:2), but not always.
2. With the ratio (r) known we can calculate the X from the formula below, where X is a vertical number of pixels:
3. To get sensor resolution we then multiply X with the corresponding ratio:
Resolution horizontal: X × r
Resolution vertical: X
1. First we need to find the ratio between horizontal and vertical length by dividing the former with the latter (aspect ratio). It's usually 1.33 (4:3) or 1.5 (3:2), but not always.
2. With the ratio (r) known we can calculate the X from the formula below, where X is a vertical number of pixels:
| (X × r) × X = effective megapixels × 1000000 → |
|
Resolution horizontal: X × r
Resolution vertical: X
Exilim QV-R100 sensor resolution
Sensor width = 6.16 mm
Sensor height = 4.62 mm
Effective megapixels = 14.10
Resolution horizontal: X × r = 3256 × 1.33 = 4330
Resolution vertical: X = 3256
Sensor resolution = 4330 x 3256
Sensor height = 4.62 mm
Effective megapixels = 14.10
| r = 6.16/4.62 = 1.33 |
|
Resolution vertical: X = 3256
Sensor resolution = 4330 x 3256
QV-2000UX sensor resolution
Sensor width = 6.40 mm
Sensor height = 4.80 mm
Effective megapixels = 1.90
Resolution horizontal: X × r = 1195 × 1.33 = 1589
Resolution vertical: X = 1195
Sensor resolution = 1589 x 1195
Sensor height = 4.80 mm
Effective megapixels = 1.90
| r = 6.40/4.80 = 1.33 |
|
Resolution vertical: X = 1195
Sensor resolution = 1589 x 1195
Crop factor
Crop factor or focal length multiplier is calculated by dividing the diagonal
of 35 mm film (43.27 mm) with the diagonal of the sensor.
| Crop factor = | 43.27 mm |
| sensor diagonal in mm |
Exilim QV-R100 crop factor
Sensor diagonal in mm = 7.70 mm
| Crop factor = | 43.27 | = 5.62 |
| 7.70 |
QV-2000UX crop factor
Sensor diagonal in mm = 8.00 mm
| Crop factor = | 43.27 | = 5.41 |
| 8.00 |
35 mm equivalent aperture
Equivalent aperture (in 135 film terms) is calculated by multiplying lens aperture
with crop factor (a.k.a. focal length multiplier).
Exilim QV-R100 equivalent aperture
Crop factor = 5.62
Aperture = f2.9 - f6.5
35-mm equivalent aperture = (f2.9 - f6.5) × 5.62 = f16.3 - f36.5
Aperture = f2.9 - f6.5
35-mm equivalent aperture = (f2.9 - f6.5) × 5.62 = f16.3 - f36.5
QV-2000UX equivalent aperture
Crop factor = 5.41
Aperture = f2.0 - f2.8
35-mm equivalent aperture = (f2.0 - f2.8) × 5.41 = f10.8 - f15.1
Aperture = f2.0 - f2.8
35-mm equivalent aperture = (f2.0 - f2.8) × 5.41 = f10.8 - f15.1
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