Casio QV-4000 vs. Casio QV-5000SX
Comparison
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| Casio QV-4000 | Casio QV-5000SX | ||||
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Megapixels
3.70
1.20
Max. image resolution
2240 x 1680
1280 x 960
Sensor
Sensor type
CCD
CCD
Sensor size
1/1.8" (~ 7.11 x 5.33 mm)
1/3" (~ 4.8 x 3.6 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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| 2.19 | : | 1 |
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| Casio QV-4000 | Casio QV-5000SX | |
Surface area:
| 37.90 mm² | vs | 17.28 mm² |
Difference: 20.62 mm² (119%)
QV-4000 sensor is approx. 2.19x bigger than QV-5000SX sensor.
Note: You are comparing cameras of different generations.
There is a 3 year gap between Casio QV-4000 (2001) and Casio QV-5000SX (1998).
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: 4.14 µm² (40%)
A pixel on Casio QV-5000SX sensor is approx. 40% bigger than a pixel on Casio QV-4000.
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-4000
Casio QV-5000SX
Total megapixels
4.10
1.30
Effective megapixels
3.70
1.20
Optical zoom
3x
1x
Digital zoom
Yes
No
ISO sensitivity
100
RAW
Manual focus
Normal focus range
30 cm
30 cm
Macro focus range
6 cm
10 cm
Focal length (35mm equiv.)
34 - 102 mm
35 mm
Aperture priority
Yes
No
Max. aperture
f2.0 - f2.5
f2.8 - f8.0
Metering
Centre weighted, Matrix, Spot
Multi, Center-weighted, Spot
Exposure compensation
±2 EV (in 1/3 EV steps)
±2 EV (in 1/2 EV steps)
Shutter priority
Yes
No
Min. shutter speed
Bulb+60 sec
1/8 sec
Max. shutter speed
1/1000 sec
1/500 sec
Built-in flash
External flash
Viewfinder
Optical (tunnel)
Optical (tunnel)
White balance presets
6
3
Screen size
1.8"
1.8"
Screen resolution
122,000 dots
61,380 dots
Video capture
Max. video resolution
Storage types
CompactFlash type I, CompactFlash type II, Microdrive
Internal
USB
USB 1.0
USB 1.0
HDMI
Wireless
GPS
Battery
AA NiMH (4) batteries (supplied)
AA (4) batteries (NiMH recommended)
Weight
420 g
320 g
Dimensions
118 x 74.5 x 64.5 mm
147 x 69 x 50 mm
Year
2001
1998
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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-4000 diagonal
The diagonal of QV-4000 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 |
Casio QV-5000SX diagonal
The diagonal of QV-5000SX 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 |
Surface area
Surface area is calculated by multiplying the width and the height of a sensor.
QV-4000 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
QV-5000SX 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
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-4000 pixel pitch
Sensor width = 7.11 mm
Sensor resolution width = 2218 pixels
Sensor resolution width = 2218 pixels
| Pixel pitch = | 7.11 | × 1000 | = 3.21 µm |
| 2218 |
QV-5000SX 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 |
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-4000 pixel area
Pixel pitch = 3.21 µm
Pixel area = 3.21² = 10.3 µm²
Pixel area = 3.21² = 10.3 µm²
QV-5000SX pixel area
Pixel pitch = 3.8 µm
Pixel area = 3.8² = 14.44 µm²
Pixel area = 3.8² = 14.44 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-4000 pixel density
Sensor resolution width = 2218 pixels
Sensor width = 0.711 cm
Pixel density = (2218 / 0.711)² / 1000000 = 9.73 MP/cm²
Sensor width = 0.711 cm
Pixel density = (2218 / 0.711)² / 1000000 = 9.73 MP/cm²
QV-5000SX 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
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-4000 sensor resolution
Sensor width = 7.11 mm
Sensor height = 5.33 mm
Effective megapixels = 3.70
Resolution horizontal: X × r = 1668 × 1.33 = 2218
Resolution vertical: X = 1668
Sensor resolution = 2218 x 1668
Sensor height = 5.33 mm
Effective megapixels = 3.70
| r = 7.11/5.33 = 1.33 |
|
Resolution vertical: X = 1668
Sensor resolution = 2218 x 1668
QV-5000SX 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
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-4000 crop factor
Sensor diagonal in mm = 8.89 mm
| Crop factor = | 43.27 | = 4.87 |
| 8.89 |
QV-5000SX crop factor
Sensor diagonal in mm = 6.00 mm
| Crop factor = | 43.27 | = 7.21 |
| 6.00 |
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-4000 equivalent aperture
Crop factor = 4.87
Aperture = f2.0 - f2.5
35-mm equivalent aperture = (f2.0 - f2.5) × 4.87 = f9.7 - f12.2
Aperture = f2.0 - f2.5
35-mm equivalent aperture = (f2.0 - f2.5) × 4.87 = f9.7 - f12.2
QV-5000SX equivalent aperture
Crop factor = 7.21
Aperture = f2.8 - f8.0
35-mm equivalent aperture = (f2.8 - f8.0) × 7.21 = f20.2 - f57.7
Aperture = f2.8 - f8.0
35-mm equivalent aperture = (f2.8 - f8.0) × 7.21 = f20.2 - f57.7
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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.