Fujifilm Digital Q1 vs. BenQ DC 2410

Comparison

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Digital Q1 image
vs
DC 2410 image
Fujifilm Digital Q1 BenQ DC 2410
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Megapixels
2.00
3.14
Max. image resolution
1600 x 1200
2272 x 1704

Sensor

Sensor type
CMOS
CCD
Sensor size
1/2" (~ 6.4 x 4.8 mm)
1/2.7" (~ 5.33 x 4 mm)
Sensor resolution
1631 x 1226
2044 x 1537
Diagonal
8.00 mm
6.66 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

Note: Actual size is set to screen → change »
vs
1.44 : 1
(ratio)
Fujifilm Digital Q1 BenQ DC 2410
Surface area:
30.72 mm² vs 21.32 mm²
Difference: 9.4 mm² (44%)
Q1 sensor is approx. 1.44x bigger than DC 2410 sensor.
Note: You are comparing cameras of different generations. There is a 2 year gap between Fujifilm Q1 (2005) and BenQ DC 2410 (2003). All things being equal, newer sensor generations generally outperform the older.
Pixel pitch
3.92 µm
2.61 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: 1.31 µm (50%)
Pixel pitch of Q1 is approx. 50% higher than pixel pitch of DC 2410.
Pixel area
15.37 µm²
6.81 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:
vs
Pixel area difference: 8.56 µm² (126%)
A pixel on Fujifilm Q1 sensor is approx. 126% bigger than a pixel on BenQ DC 2410.
Pixel density
6.49 MP/cm²
14.71 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: 8.22 µm (127%)
BenQ DC 2410 has approx. 127% higher pixel density than Fujifilm Q1.
To learn about the accuracy of these numbers, click here.



Specs

Fujifilm Q1
BenQ DC 2410
Crop factor
5.41
6.5
Total megapixels
Effective megapixels
Optical zoom
No
No
Digital zoom
Yes
Yes
ISO sensitivity
100, 200
Auto, 100, 200
RAW
Manual focus
Normal focus range
120 cm
80 cm
Macro focus range
6 cm
20 cm
Focal length (35mm equiv.)
46 mm
34 mm
Aperture priority
No
No
Max. aperture
f3.5
f2.9
Max. aperture (35mm equiv.)
f18.9
f18.9
Metering
Centre weighted
Exposure compensation
±2 EV (in 1/3 EV steps)
±2 EV (in 1/3 EV steps)
Shutter priority
No
No
Min. shutter speed
1/15 sec
1/4 sec
Max. shutter speed
1/2000 sec
1/1000 sec
Built-in flash
External flash
Viewfinder
None
Optical
White balance presets
4
6
Screen size
1.45"
1.6"
Screen resolution
61,600 dots
80,000 dots
Video capture
Max. video resolution
Storage types
xD Picture card
MultiMedia, Secure Digital
USB
USB 1.1
HDMI
Wireless
GPS
Battery
2x AA
2x AA
Weight
132 g
185 g
Dimensions
94 x 75 x 34.5 mm
94 x 66 x 41 mm
Year
2005
2003




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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

Fujifilm Q1 diagonal

The diagonal of Q1 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

BenQ DC 2410 diagonal

The diagonal of DC 2410 sensor is not 1/2.7 or 0.37" (9.4 mm) as you might expect, but approximately two thirds of that value - 6.66 mm. If you want to know why, see sensor sizes.

w = 5.33 mm
h = 4.00 mm
Diagonal =  5.33² + 4.00²   = 6.66 mm


Surface area

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

Q1 sensor area

Width = 6.40 mm
Height = 4.80 mm

Surface area = 6.40 × 4.80 = 30.72 mm²

DC 2410 sensor area

Width = 5.33 mm
Height = 4.00 mm

Surface area = 5.33 × 4.00 = 21.32 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

Q1 pixel pitch

Sensor width = 6.40 mm
Sensor resolution width = 1631 pixels
Pixel pitch =   6.40  × 1000  = 3.92 µm
1631

DC 2410 pixel pitch

Sensor width = 5.33 mm
Sensor resolution width = 2044 pixels
Pixel pitch =   5.33  × 1000  = 2.61 µm
2044


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

Q1 pixel area

Pixel pitch = 3.92 µm

Pixel area = 3.92² = 15.37 µm²

DC 2410 pixel area

Pixel pitch = 2.61 µm

Pixel area = 2.61² = 6.81 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

Q1 pixel density

Sensor resolution width = 1631 pixels
Sensor width = 0.64 cm

Pixel density = (1631 / 0.64)² / 1000000 = 6.49 MP/cm²

DC 2410 pixel density

Sensor resolution width = 2044 pixels
Sensor width = 0.533 cm

Pixel density = (2044 / 0.533)² / 1000000 = 14.71 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

Q1 sensor resolution

Sensor width = 6.40 mm
Sensor height = 4.80 mm
Effective megapixels = 2.00
r = 6.40/4.80 = 1.33
X =  2.00 × 1000000  = 1226
1.33
Resolution horizontal: X × r = 1226 × 1.33 = 1631
Resolution vertical: X = 1226

Sensor resolution = 1631 x 1226

DC 2410 sensor resolution

Sensor width = 5.33 mm
Sensor height = 4.00 mm
Effective megapixels = 3.14
r = 5.33/4.00 = 1.33
X =  3.14 × 1000000  = 1537
1.33
Resolution horizontal: X × r = 1537 × 1.33 = 2044
Resolution vertical: X = 1537

Sensor resolution = 2044 x 1537


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


Q1 crop factor

Sensor diagonal in mm = 8.00 mm
Crop factor =   43.27  = 5.41
8.00

DC 2410 crop factor

Sensor diagonal in mm = 6.66 mm
Crop factor =   43.27  = 6.5
6.66

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).

Q1 equivalent aperture

Crop factor = 5.41
Aperture = f3.5

35-mm equivalent aperture = (f3.5) × 5.41 = f18.9

DC 2410 equivalent aperture

Crop factor = 6.5
Aperture = f2.9

35-mm equivalent aperture = (f2.9) × 6.5 = f18.9

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