Casio QV-2000UX vs. Olympus C-2500 L

Comparison

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Casio QV-2000UX

Olympus C-2500 L

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Megapixels

1.90

2.30

Max. image resolution

1600 x 1200

1712 x 1368

Sensor

Sensor type

CCD

Sensor size

1/2" (~ 6.4 x 4.8 mm)

2/3" (~ 8.8 x 6.6 mm)

Sensor resolution

1589 x 1195

1749 x 1315

Diagonal

8.00 mm

11.00 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 »

Actual sensor size

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	vs
1	:	1.89
(ratio)

Casio QV-2000UX		Olympus C-2500 L

Surface area:

30.72 mm²

58.08 mm²

Difference: 27.36 mm² (89%)

C-2500 L sensor is approx. 1.89x bigger than QV-2000UX sensor.

Pixel pitch

4.03 µm

5.03 µm

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.

Difference: 1 µm (25%)

Pixel pitch of C-2500 L is approx. 25% higher than pixel pitch of QV-2000UX.

Pixel area

16.24 µm²

25.3 µm²

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.

Relative pixel sizes:

Pixel area difference: 9.06 µm² (56%)

A pixel on Olympus C-2500 L sensor is approx. 56% bigger than a pixel on Casio QV-2000UX.

Pixel density

6.16 MP/cm²

3.95 MP/cm²

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.

Difference: 2.21 µm (56%)

Casio QV-2000UX has approx. 56% higher pixel density than Olympus C-2500 L.

To learn about the accuracy of these numbers, click here.

Specs

Casio QV-2000UX

Olympus C-2500 L

Crop factor

5.41

3.93

Total megapixels

2.10

2.50

Effective megapixels

1.90

2.30

Optical zoom

3.1x

Digital zoom

Yes

ISO sensitivity

100, 200, 400

RAW

Manual focus

Normal focus range

50 cm

80 cm

Macro focus range

20 cm

2 cm

Focal length (35mm equiv.)

36 - 108 mm

36 - 110 mm

Aperture priority

Yes

Max. aperture

f2.0 - f2.8

f2.8 - f5.6

Max. aperture (35mm equiv.)

f10.8 - f15.1

f11 - f22

Metering

Multi, Center-weighted, Spot

Exposure compensation

±2 EV (in 1/3 EV steps)

Shutter priority

Yes

Min. shutter speed

1 sec

8 sec

Max. shutter speed

1/800 sec

1/10000 sec

Built-in flash

External flash

Viewfinder

Optical (tunnel)

White balance presets

Screen size

1.8"

Screen resolution

61,380 dots

114,000 dots

Video capture

Max. video resolution

Storage types

Compact Flash

SmartMedia, Compact Flash

USB

USB 1.0

HDMI

Wireless

GPS

Battery

AA (4) batteries (NiMH recommended)

AA NiMH (4) batteries (supplied)

Weight

320 g

530 g

Dimensions

130 x 75 x 60 mm

109 x 80 x 128 mm

Year

1999

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Diagonal

Diagonal is calculated by the use of Pythagorean theorem:

Diagonal = √

w² + h²

where w = sensor width and h = sensor height

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

Diagonal = √

6.40² + 4.80²

= 8.00 mm

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

Diagonal = √

8.80² + 6.60²

= 11.00 mm

Surface area

Surface area is calculated by multiplying the width and the height of a sensor.

QV-2000UX sensor area

Width = 6.40 mm
Height = 4.80 mm

Surface area = 6.40 × 4.80 = 30.72 mm²

C-2500 L sensor area

Width = 8.80 mm
Height = 6.60 mm

Surface area = 8.80 × 6.60 = 58.08 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

QV-2000UX pixel pitch

Sensor width = 6.40 mm
Sensor resolution width = 1589 pixels

Pixel pitch =	6.40	× 1000	= 4.03 µm
	1589

C-2500 L pixel pitch

Sensor width = 8.80 mm
Sensor resolution width = 1749 pixels

Pixel pitch =	8.80	× 1000	= 5.03 µm
	1749

Pixel area

The area of one pixel can be calculated by simply squaring the pixel pitch:

Pixel area = pixel pitch²

You could also divide sensor surface area with effective megapixels:

Pixel area =	sensor surface area in mm²
	effective megapixels

QV-2000UX pixel area

Pixel pitch = 4.03 µm

Pixel area = 4.03² = 16.24 µm²

C-2500 L pixel area

Pixel pitch = 5.03 µm

Pixel area = 5.03² = 25.3 µm²

Pixel density

Pixel density can be calculated with the following 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

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

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 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:

(X × r) × X = effective megapixels × 1000000 →

X = √	effective megapixels × 1000000
	r

3. To get sensor resolution we then multiply X with the corresponding ratio:

Resolution horizontal: X × r
Resolution vertical: X

QV-2000UX sensor resolution

Sensor width = 6.40 mm
Sensor height = 4.80 mm
Effective megapixels = 1.90

r = 6.40/4.80 = 1.33

X = √	1.90 × 1000000	= 1195
	1.33

Resolution horizontal: X × r = 1195 × 1.33 = 1589
Resolution vertical: X = 1195

Sensor resolution = 1589 x 1195

C-2500 L sensor resolution

Sensor width = 8.80 mm
Sensor height = 6.60 mm
Effective megapixels = 2.30

r = 8.80/6.60 = 1.33

X = √	2.30 × 1000000	= 1315
	1.33

Resolution horizontal: X × r = 1315 × 1.33 = 1749
Resolution vertical: X = 1315

Sensor resolution = 1749 x 1315

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

QV-2000UX crop factor

Sensor diagonal in mm = 8.00 mm

Crop factor =	43.27	= 5.41
	8.00

C-2500 L crop factor

Sensor diagonal in mm = 11.00 mm

Crop factor =	43.27	= 3.93
	11.00

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).

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

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

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