Olympus C-2500 L vs. Sony Cyber-shot DSC-W17
Comparison
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| Olympus C-2500 L | Sony Cyber-shot DSC-W17 | ||||
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Megapixels
2.30
7.20
Max. image resolution
1712 x 1368
3072 x 2304
Sensor
Sensor type
CCD
CCD
Sensor size
2/3" (~ 8.8 x 6.6 mm)
1/1.8" (~ 7.11 x 5.33 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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| Olympus C-2500 L | Sony Cyber-shot DSC-W17 | |
Surface area:
| 58.08 mm² | vs | 37.90 mm² |
Difference: 20.18 mm² (53%)
C-2500 L sensor is approx. 1.53x bigger than W17 sensor.
Note: You are comparing sensors of very different generations.
There is a gap of 6 years between Olympus C-2500 L (1999) and Sony W17 (2005).
Six years is a lot of time in terms
of technology, meaning newer sensors are overall much more
efficient than the older ones.
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: 20.01 µm² (378%)
A pixel on Olympus C-2500 L sensor is approx. 378% bigger than a pixel on Sony W17.
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
Olympus C-2500 L
Sony W17
Total megapixels
2.50
Effective megapixels
2.30
Optical zoom
3.1x
Yes
Digital zoom
No
Yes
ISO sensitivity
100, 200, 400
Auto, 100, 200, 400
RAW
Manual focus
Normal focus range
80 cm
30 cm
Macro focus range
2 cm
6 cm
Focal length (35mm equiv.)
36 - 110 mm
38 - 114 mm
Aperture priority
Yes
No
Max. aperture
f2.8 - f5.6
f2.8 - f5.2
Metering
Multi, Center-weighted, Spot
Centre weighted, Multi Spot
Exposure compensation
±2 EV (in 1/3 EV steps)
±2 EV (in 1/3 EV steps)
Shutter priority
Yes
No
Min. shutter speed
8 sec
30 sec
Max. shutter speed
1/10000 sec
1/2000 sec
Built-in flash
External flash
Viewfinder
Optical (tunnel)
Optical
White balance presets
6
5
Screen size
1.8"
2.5"
Screen resolution
114,000 dots
115,000 dots
Video capture
Max. video resolution
Storage types
SmartMedia, Compact Flash
Memory Stick, Memory Stick Pro
USB
USB 1.0
USB 2.0 (480 Mbit/sec)
HDMI
Wireless
GPS
Battery
AA NiMH (4) batteries (supplied)
2x AA
Weight
530 g
197 g
Dimensions
109 x 80 x 128 mm
91 x 60 x 37.1 mm
Year
1999
2005
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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 |
Olympus C-2500 L diagonal
The diagonal of C-2500 L sensor is not 2/3 or 0.67" (16.9 mm) as you might expect, but approximately two thirds of
that value - 11 mm. If you want to know why, see
sensor sizes.
w = 8.80 mm
h = 6.60 mm
w = 8.80 mm
h = 6.60 mm
| Diagonal = √ | 8.80² + 6.60² | = 11.00 mm |
Sony W17 diagonal
The diagonal of W17 sensor is not 1/1.8 or 0.56" (14.1 mm) as you might expect, but approximately two thirds of
that value - 8.89 mm. If you want to know why, see
sensor sizes.
w = 7.11 mm
h = 5.33 mm
w = 7.11 mm
h = 5.33 mm
| Diagonal = √ | 7.11² + 5.33² | = 8.89 mm |
Surface area
Surface area is calculated by multiplying the width and the height of a sensor.
C-2500 L sensor area
Width = 8.80 mm
Height = 6.60 mm
Surface area = 8.80 × 6.60 = 58.08 mm²
Height = 6.60 mm
Surface area = 8.80 × 6.60 = 58.08 mm²
W17 sensor area
Width = 7.11 mm
Height = 5.33 mm
Surface area = 7.11 × 5.33 = 37.90 mm²
Height = 5.33 mm
Surface area = 7.11 × 5.33 = 37.90 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 |
C-2500 L pixel pitch
Sensor width = 8.80 mm
Sensor resolution width = 1749 pixels
Sensor resolution width = 1749 pixels
| Pixel pitch = | 8.80 | × 1000 | = 5.03 µm |
| 1749 |
W17 pixel pitch
Sensor width = 7.11 mm
Sensor resolution width = 3095 pixels
Sensor resolution width = 3095 pixels
| Pixel pitch = | 7.11 | × 1000 | = 2.3 µm |
| 3095 |
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 |
C-2500 L pixel area
Pixel pitch = 5.03 µm
Pixel area = 5.03² = 25.3 µm²
Pixel area = 5.03² = 25.3 µm²
W17 pixel area
Pixel pitch = 2.3 µm
Pixel area = 2.3² = 5.29 µm²
Pixel area = 2.3² = 5.29 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 |
C-2500 L pixel density
Sensor resolution width = 1749 pixels
Sensor width = 0.88 cm
Pixel density = (1749 / 0.88)² / 1000000 = 3.95 MP/cm²
Sensor width = 0.88 cm
Pixel density = (1749 / 0.88)² / 1000000 = 3.95 MP/cm²
W17 pixel density
Sensor resolution width = 3095 pixels
Sensor width = 0.711 cm
Pixel density = (3095 / 0.711)² / 1000000 = 18.95 MP/cm²
Sensor width = 0.711 cm
Pixel density = (3095 / 0.711)² / 1000000 = 18.95 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
C-2500 L sensor resolution
Sensor width = 8.80 mm
Sensor height = 6.60 mm
Effective megapixels = 2.30
Resolution horizontal: X × r = 1315 × 1.33 = 1749
Resolution vertical: X = 1315
Sensor resolution = 1749 x 1315
Sensor height = 6.60 mm
Effective megapixels = 2.30
| r = 8.80/6.60 = 1.33 |
|
Resolution vertical: X = 1315
Sensor resolution = 1749 x 1315
W17 sensor resolution
Sensor width = 7.11 mm
Sensor height = 5.33 mm
Effective megapixels = 7.20
Resolution horizontal: X × r = 2327 × 1.33 = 3095
Resolution vertical: X = 2327
Sensor resolution = 3095 x 2327
Sensor height = 5.33 mm
Effective megapixels = 7.20
| r = 7.11/5.33 = 1.33 |
|
Resolution vertical: X = 2327
Sensor resolution = 3095 x 2327
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 |
C-2500 L crop factor
Sensor diagonal in mm = 11.00 mm
| Crop factor = | 43.27 | = 3.93 |
| 11.00 |
W17 crop factor
Sensor diagonal in mm = 8.89 mm
| Crop factor = | 43.27 | = 4.87 |
| 8.89 |
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).
C-2500 L equivalent aperture
Crop factor = 3.93
Aperture = f2.8 - f5.6
35-mm equivalent aperture = (f2.8 - f5.6) × 3.93 = f11 - f22
Aperture = f2.8 - f5.6
35-mm equivalent aperture = (f2.8 - f5.6) × 3.93 = f11 - f22
W17 equivalent aperture
Crop factor = 4.87
Aperture = f2.8 - f5.2
35-mm equivalent aperture = (f2.8 - f5.2) × 4.87 = f13.6 - f25.3
Aperture = f2.8 - f5.2
35-mm equivalent aperture = (f2.8 - f5.2) × 4.87 = f13.6 - f25.3
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