Jenoptik JD C 1.3 LCD vs. Casio QV-5700

Comparison

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JD C 1.3 LCD image
vs
QV-5700 image
Jenoptik JD C 1.3 LCD Casio QV-5700
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Megapixels
1.30
4.90
Max. image resolution
1600 x 1200
2560 x 1920

Sensor

Sensor type
CMOS
CCD
Sensor size
1/2" (~ 6.4 x 4.8 mm)
1/1.8" (~ 7.11 x 5.33 mm)
Sensor resolution
1315 x 989
2552 x 1919
Diagonal
8.00 mm
8.89 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 : 1.23
(ratio)
Jenoptik JD C 1.3 LCD Casio QV-5700
Surface area:
30.72 mm² vs 37.90 mm²
Difference: 7.18 mm² (23%)
QV-5700 sensor is approx. 1.23x bigger than JD C 1.3 LCD sensor.
Pixel pitch
4.87 µm
2.79 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: 2.08 µm (75%)
Pixel pitch of JD C 1.3 LCD is approx. 75% higher than pixel pitch of QV-5700.
Pixel area
23.72 µm²
7.78 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: 15.94 µm² (205%)
A pixel on Jenoptik JD C 1.3 LCD sensor is approx. 205% bigger than a pixel on Casio QV-5700.
Pixel density
4.22 MP/cm²
12.88 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: 8.66 µm (205%)
Casio QV-5700 has approx. 205% higher pixel density than Jenoptik JD C 1.3 LCD.
To learn about the accuracy of these numbers, click here.



Specs

Jenoptik JD C 1.3 LCD
Casio QV-5700
Crop factor
5.41
4.87
Total megapixels
5.20
Effective megapixels
4.90
Optical zoom
No
3x
Digital zoom
Yes
Yes
ISO sensitivity
100
Auto, 50, 100, 200, 400, 800
RAW
Manual focus
Normal focus range
100 cm
30 cm
Macro focus range
20 cm
6 cm
Focal length (35mm equiv.)
46 mm
34 - 102 mm
Aperture priority
No
Yes
Max. aperture
f2.8
f2.0 - f2.5
Max. aperture (35mm equiv.)
f15.1
f9.7 - f12.2
Metering
Centre weighted
Centre weighted, Matrix, Spot
Exposure compensation
±2 EV (in 1/3 EV steps)
±2 EV (in 1/3 EV steps)
Shutter priority
No
Yes
Min. shutter speed
1/4 sec
Bulb+60 sec
Max. shutter speed
1/4000 sec
1/1000 sec
Built-in flash
External flash
Viewfinder
Optical
Optical (tunnel)
White balance presets
6
6
Screen size
1.5"
1.8"
Screen resolution
122,000 dots
Video capture
Max. video resolution
Storage types
Secure Digital
CompactFlash type I, CompactFlash type II, Microdrive
USB
USB 1.1
USB 1.0
HDMI
Wireless
GPS
Battery
4x AAA
AA NiMH (4) batteries (supplied)
Weight
110 g
355 g
Dimensions
97 x 28 x 63 mm
118 x 74.5 x 64.5 mm
Year
2002
2002




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vs

Diagonal

Diagonal is calculated by the use of Pythagorean theorem:
Diagonal =  w² + h²
where w = sensor width and h = sensor height

Jenoptik JD C 1.3 LCD diagonal

The diagonal of JD C 1.3 LCD 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

Casio QV-5700 diagonal

The diagonal of QV-5700 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
Diagonal =  7.11² + 5.33²   = 8.89 mm


Surface area

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

JD C 1.3 LCD sensor area

Width = 6.40 mm
Height = 4.80 mm

Surface area = 6.40 × 4.80 = 30.72 mm²

QV-5700 sensor area

Width = 7.11 mm
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

JD C 1.3 LCD pixel pitch

Sensor width = 6.40 mm
Sensor resolution width = 1315 pixels
Pixel pitch =   6.40  × 1000  = 4.87 µm
1315

QV-5700 pixel pitch

Sensor width = 7.11 mm
Sensor resolution width = 2552 pixels
Pixel pitch =   7.11  × 1000  = 2.79 µm
2552


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

JD C 1.3 LCD pixel area

Pixel pitch = 4.87 µm

Pixel area = 4.87² = 23.72 µm²

QV-5700 pixel area

Pixel pitch = 2.79 µm

Pixel area = 2.79² = 7.78 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

JD C 1.3 LCD pixel density

Sensor resolution width = 1315 pixels
Sensor width = 0.64 cm

Pixel density = (1315 / 0.64)² / 1000000 = 4.22 MP/cm²

QV-5700 pixel density

Sensor resolution width = 2552 pixels
Sensor width = 0.711 cm

Pixel density = (2552 / 0.711)² / 1000000 = 12.88 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

JD C 1.3 LCD sensor resolution

Sensor width = 6.40 mm
Sensor height = 4.80 mm
Effective megapixels = 1.30
r = 6.40/4.80 = 1.33
X =  1.30 × 1000000  = 989
1.33
Resolution horizontal: X × r = 989 × 1.33 = 1315
Resolution vertical: X = 989

Sensor resolution = 1315 x 989

QV-5700 sensor resolution

Sensor width = 7.11 mm
Sensor height = 5.33 mm
Effective megapixels = 4.90
r = 7.11/5.33 = 1.33
X =  4.90 × 1000000  = 1919
1.33
Resolution horizontal: X × r = 1919 × 1.33 = 2552
Resolution vertical: X = 1919

Sensor resolution = 2552 x 1919


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


JD C 1.3 LCD crop factor

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

QV-5700 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).

JD C 1.3 LCD equivalent aperture

Crop factor = 5.41
Aperture = f2.8

35-mm equivalent aperture = (f2.8) × 5.41 = f15.1

QV-5700 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

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