Casio QV-8000SX vs. Minolta DiMAGE F100
Comparison
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| Casio QV-8000SX | Minolta DiMAGE F100 | ||||
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Megapixels
1.20
4.10
Max. image resolution
1280 x 960
2272 x 1704
Sensor
Sensor type
CCD
CCD
Sensor size
1/3" (~ 4.8 x 3.6 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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| 1 | : | 2.19 |
| (ratio) | ||
| Casio QV-8000SX | Minolta DiMAGE F100 | |
Surface area:
| 17.28 mm² | vs | 37.90 mm² |
Difference: 20.62 mm² (119%)
DiMAGE F100 sensor is approx. 2.19x bigger than QV-8000SX sensor.
Note: You are comparing cameras of different generations.
There is a 3 year gap between Casio QV-8000SX (1999) and Minolta DiMAGE F100 (2002).
All things being equal, newer sensor generations generally outperform the older.
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: 5.2 µm² (56%)
A pixel on Casio QV-8000SX sensor is approx. 56% bigger than a pixel on Minolta DiMAGE F100.
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 QV-8000SX
Minolta DiMAGE F100
Total megapixels
1.30
Effective megapixels
1.20
Optical zoom
8x
3x
Digital zoom
Yes
Yes
ISO sensitivity
Auto, 100, 200, 400, 800
RAW
Manual focus
Normal focus range
40 cm
55 cm
Macro focus range
1 cm
15 cm
Focal length (35mm equiv.)
40 - 320 mm
38 - 114 mm
Aperture priority
Yes
Yes
Max. aperture
f3.2 - f3.5
f2.8 - f4.7
Metering
Multi, Center-weighted, Spot
256-segment Matrix, Spot
Exposure compensation
±2 EV (in 1/4 EV steps)
±2 EV (in 1/3 EV steps)
Shutter priority
Yes
Yes
Min. shutter speed
64 sec
1 sec
Max. shutter speed
1/2000 sec
1/1000 sec
Built-in flash
External flash
Viewfinder
None
Optical (tunnel)
White balance presets
4
7
Screen size
2.5"
1.5"
Screen resolution
61,380 dots
110,000 dots
Video capture
Max. video resolution
Storage types
Compact Flash
MultiMedia, Secure Digital
USB
USB 1.0
USB 1.0
HDMI
Wireless
GPS
Battery
AA (4) batteries (NiMH recommended)
AA (2) batteries (NiMH recommended)
Weight
320 g
245 g
Dimensions
141 x 75 x 60 mm
111 x 52 x 32 mm
Year
1999
2002
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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 QV-8000SX diagonal
The diagonal of QV-8000SX sensor is not 1/3 or 0.33" (8.5 mm) as you might expect, but approximately two thirds of
that value - 6 mm. If you want to know why, see
sensor sizes.
w = 4.80 mm
h = 3.60 mm
w = 4.80 mm
h = 3.60 mm
| Diagonal = √ | 4.80² + 3.60² | = 6.00 mm |
Minolta DiMAGE F100 diagonal
The diagonal of DiMAGE F100 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.
QV-8000SX sensor area
Width = 4.80 mm
Height = 3.60 mm
Surface area = 4.80 × 3.60 = 17.28 mm²
Height = 3.60 mm
Surface area = 4.80 × 3.60 = 17.28 mm²
DiMAGE F100 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 |
QV-8000SX pixel pitch
Sensor width = 4.80 mm
Sensor resolution width = 1264 pixels
Sensor resolution width = 1264 pixels
| Pixel pitch = | 4.80 | × 1000 | = 3.8 µm |
| 1264 |
DiMAGE F100 pixel pitch
Sensor width = 7.11 mm
Sensor resolution width = 2335 pixels
Sensor resolution width = 2335 pixels
| Pixel pitch = | 7.11 | × 1000 | = 3.04 µm |
| 2335 |
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 |
QV-8000SX pixel area
Pixel pitch = 3.8 µm
Pixel area = 3.8² = 14.44 µm²
Pixel area = 3.8² = 14.44 µm²
DiMAGE F100 pixel area
Pixel pitch = 3.04 µm
Pixel area = 3.04² = 9.24 µm²
Pixel area = 3.04² = 9.24 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 |
QV-8000SX pixel density
Sensor resolution width = 1264 pixels
Sensor width = 0.48 cm
Pixel density = (1264 / 0.48)² / 1000000 = 6.93 MP/cm²
Sensor width = 0.48 cm
Pixel density = (1264 / 0.48)² / 1000000 = 6.93 MP/cm²
DiMAGE F100 pixel density
Sensor resolution width = 2335 pixels
Sensor width = 0.711 cm
Pixel density = (2335 / 0.711)² / 1000000 = 10.79 MP/cm²
Sensor width = 0.711 cm
Pixel density = (2335 / 0.711)² / 1000000 = 10.79 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
QV-8000SX sensor resolution
Sensor width = 4.80 mm
Sensor height = 3.60 mm
Effective megapixels = 1.20
Resolution horizontal: X × r = 950 × 1.33 = 1264
Resolution vertical: X = 950
Sensor resolution = 1264 x 950
Sensor height = 3.60 mm
Effective megapixels = 1.20
| r = 4.80/3.60 = 1.33 |
|
Resolution vertical: X = 950
Sensor resolution = 1264 x 950
DiMAGE F100 sensor resolution
Sensor width = 7.11 mm
Sensor height = 5.33 mm
Effective megapixels = 4.10
Resolution horizontal: X × r = 1756 × 1.33 = 2335
Resolution vertical: X = 1756
Sensor resolution = 2335 x 1756
Sensor height = 5.33 mm
Effective megapixels = 4.10
| r = 7.11/5.33 = 1.33 |
|
Resolution vertical: X = 1756
Sensor resolution = 2335 x 1756
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-8000SX crop factor
Sensor diagonal in mm = 6.00 mm
| Crop factor = | 43.27 | = 7.21 |
| 6.00 |
DiMAGE F100 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).
QV-8000SX equivalent aperture
Crop factor = 7.21
Aperture = f3.2 - f3.5
35-mm equivalent aperture = (f3.2 - f3.5) × 7.21 = f23.1 - f25.2
Aperture = f3.2 - f3.5
35-mm equivalent aperture = (f3.2 - f3.5) × 7.21 = f23.1 - f25.2
DiMAGE F100 equivalent aperture
Crop factor = 4.87
Aperture = f2.8 - f4.7
35-mm equivalent aperture = (f2.8 - f4.7) × 4.87 = f13.6 - f22.9
Aperture = f2.8 - f4.7
35-mm equivalent aperture = (f2.8 - f4.7) × 4.87 = f13.6 - f22.9
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If your screen (phone, tablet, or monitor) is not in diagonal, then the actual size of a sensor won't be shown correctly.