Jenoptik JD 3.3x4 ie vs. Jenoptik JD 3.3z10

Comparison

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JD 3.3x4 ie image
vs
JD 3.3z10 image
Jenoptik JD 3.3x4 ie Jenoptik JD 3.3z10
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Megapixels
3.10
3.34
Max. image resolution
2048 x 1536
2048 x 1536

Sensor

Sensor type
CCD
CCD
Sensor size
1/2.7" (~ 5.33 x 4 mm)
1/2.7" (~ 5.33 x 4 mm)
Sensor resolution
2031 x 1527
2108 x 1585
Diagonal
6.66 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 : 1
(ratio)
Jenoptik JD 3.3x4 ie Jenoptik JD 3.3z10
Surface area:
21.32 mm² vs 21.32 mm²
Difference: 0 mm² (0%)
JD 3.3x4 ie and JD 3.3z10 sensors are the same size.
Pixel pitch
2.62 µm
2.53 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: 0.09 µm (4%)
Pixel pitch of JD 3.3x4 ie is approx. 4% higher than pixel pitch of JD 3.3z10.
Pixel area
6.86 µm²
6.4 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: 0.46 µm² (7%)
A pixel on Jenoptik JD 3.3x4 ie sensor is approx. 7% bigger than a pixel on Jenoptik JD 3.3z10.
Pixel density
14.52 MP/cm²
15.64 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: 1.12 µm (8%)
Jenoptik JD 3.3z10 has approx. 8% higher pixel density than Jenoptik JD 3.3x4 ie.
To learn about the accuracy of these numbers, click here.



Specs

Jenoptik JD 3.3x4 ie
Jenoptik JD 3.3z10
Crop factor
6.5
6.5
Total megapixels
Effective megapixels
Optical zoom
Yes
Yes
Digital zoom
Yes
Yes
ISO sensitivity
200, 400
Auto, 70, 100, 200, 400
RAW
Manual focus
Normal focus range
14 cm
50 cm
Macro focus range
7 cm
10 cm
Focal length (35mm equiv.)
38 - 76 mm
35 - 350 mm
Aperture priority
No
Yes
Max. aperture
f2.8 - f3.8
f2.8 - f3.1
Max. aperture (35mm equiv.)
f18.2 - f24.7
f18.2 - f20.2
Metering
Centre weighted
Centre weighted, Spot
Exposure compensation
±2 EV (in 1/2 EV steps)
±2 EV (in 1/3 EV steps)
Shutter priority
No
Yes
Min. shutter speed
4 sec
1/2 sec
Max. shutter speed
1/1000 sec
1/2000 sec
Built-in flash
External flash
Viewfinder
Optical
Electronic
White balance presets
5
6
Screen size
1.5"
2.5"
Screen resolution
117,600 dots
119,548 dots
Video capture
Max. video resolution
Storage types
MultiMedia, Secure Digital
Secure Digital
USB
USB 1.1
HDMI
Wireless
GPS
Battery
Li-Ion
4x AA
Weight
190 g
342 g
Dimensions
117 x 54 x 30 mm
109 x 68 x 66 mm
Year
2002
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

Jenoptik JD 3.3x4 ie diagonal

The diagonal of JD 3.3x4 ie 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

Jenoptik JD 3.3z10 diagonal

The diagonal of JD 3.3z10 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.

JD 3.3x4 ie sensor area

Width = 5.33 mm
Height = 4.00 mm

Surface area = 5.33 × 4.00 = 21.32 mm²

JD 3.3z10 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

JD 3.3x4 ie pixel pitch

Sensor width = 5.33 mm
Sensor resolution width = 2031 pixels
Pixel pitch =   5.33  × 1000  = 2.62 µm
2031

JD 3.3z10 pixel pitch

Sensor width = 5.33 mm
Sensor resolution width = 2108 pixels
Pixel pitch =   5.33  × 1000  = 2.53 µm
2108


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 3.3x4 ie pixel area

Pixel pitch = 2.62 µm

Pixel area = 2.62² = 6.86 µm²

JD 3.3z10 pixel area

Pixel pitch = 2.53 µm

Pixel area = 2.53² = 6.4 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 3.3x4 ie pixel density

Sensor resolution width = 2031 pixels
Sensor width = 0.533 cm

Pixel density = (2031 / 0.533)² / 1000000 = 14.52 MP/cm²

JD 3.3z10 pixel density

Sensor resolution width = 2108 pixels
Sensor width = 0.533 cm

Pixel density = (2108 / 0.533)² / 1000000 = 15.64 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 3.3x4 ie sensor resolution

Sensor width = 5.33 mm
Sensor height = 4.00 mm
Effective megapixels = 3.10
r = 5.33/4.00 = 1.33
X =  3.10 × 1000000  = 1527
1.33
Resolution horizontal: X × r = 1527 × 1.33 = 2031
Resolution vertical: X = 1527

Sensor resolution = 2031 x 1527

JD 3.3z10 sensor resolution

Sensor width = 5.33 mm
Sensor height = 4.00 mm
Effective megapixels = 3.34
r = 5.33/4.00 = 1.33
X =  3.34 × 1000000  = 1585
1.33
Resolution horizontal: X × r = 1585 × 1.33 = 2108
Resolution vertical: X = 1585

Sensor resolution = 2108 x 1585


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 3.3x4 ie crop factor

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

JD 3.3z10 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).

JD 3.3x4 ie equivalent aperture

Crop factor = 6.5
Aperture = f2.8 - f3.8

35-mm equivalent aperture = (f2.8 - f3.8) × 6.5 = f18.2 - f24.7

JD 3.3z10 equivalent aperture

Crop factor = 6.5
Aperture = f2.8 - f3.1

35-mm equivalent aperture = (f2.8 - f3.1) × 6.5 = f18.2 - f20.2

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