Konica-Minolta DiMAGE Z2 vs. Panasonic Lumix DMC-FZ28
Comparison
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| Konica-Minolta DiMAGE Z2 | Panasonic Lumix DMC-FZ28 | ||||
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Megapixels
3.90
10.10
Max. image resolution
2272 x 1704
3648 x 2736
Sensor
Sensor type
CCD
CCD
Sensor size
1/2.5" (~ 5.75 x 4.32 mm)
1/2.33" (~ 6.08 x 4.56 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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| Konica-Minolta DiMAGE Z2 | Panasonic Lumix DMC-FZ28 | |
Surface area:
| 24.84 mm² | vs | 27.72 mm² |
Difference: 2.88 mm² (12%)
FZ28 sensor is approx. 1.12x bigger than DiMAGE Z2 sensor.
Note: You are comparing cameras of different generations.
There is a 4 year gap between Konica-Minolta DiMAGE Z2 (2004) and Panasonic FZ28 (2008).
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: 3.64 µm² (132%)
A pixel on Konica-Minolta DiMAGE Z2 sensor is approx. 132% bigger than a pixel on Panasonic FZ28.
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
Konica-Minolta DiMAGE Z2
Panasonic FZ28
Total megapixels
10.70
Effective megapixels
10.10
Optical zoom
10x
18x
Digital zoom
Yes
Yes
ISO sensitivity
Auto, 50, 100, 200, 400
Auto, 100, 200, 400, 800, 1600 - 6400
RAW
Manual focus
Normal focus range
50 cm
30 cm
Macro focus range
10 cm
1 cm
Focal length (35mm equiv.)
38 - 380 mm
27 - 486 mm
Aperture priority
Yes
Yes
Max. aperture
f2.8 - f3.5
f2.8 - f4.4
Metering
Centre weighted, Intelligent Multiple, Spot
Exposure compensation
±2 EV (in 1/3 EV steps)
±2 EV (in 1/3 EV steps)
Shutter priority
Yes
Yes
Min. shutter speed
15 sec
60 sec
Max. shutter speed
1/1000 sec
1/2000 sec
Built-in flash
External flash
Viewfinder
Electronic
Electronic
White balance presets
5
8
Screen size
1.5"
2.7"
Screen resolution
113,000 dots
230,000 dots
Video capture
Max. video resolution
Storage types
SD/MMC card
MultiMedia, SDHC, Secure Digital
USB
USB 1.0
USB 2.0 (480 Mbit/sec)
HDMI
Wireless
GPS
Battery
AA (4) batteries (NiMH recommended)
Lithium-Ion rechargeble
Weight
410 g
370 g
Dimensions
110 x 78 x 80 mm
117.6 x 75.3 x 88.9 mm
Year
2004
2008
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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 |
Konica-Minolta DiMAGE Z2 diagonal
The diagonal of DiMAGE Z2 sensor is not 1/2.5 or 0.4" (10.2 mm) as you might expect, but approximately two thirds of
that value - 7.19 mm. If you want to know why, see
sensor sizes.
w = 5.75 mm
h = 4.32 mm
w = 5.75 mm
h = 4.32 mm
| Diagonal = √ | 5.75² + 4.32² | = 7.19 mm |
Panasonic FZ28 diagonal
The diagonal of FZ28 sensor is not 1/2.33 or 0.43" (10.9 mm) as you might expect, but approximately two thirds of
that value - 7.6 mm. If you want to know why, see
sensor sizes.
w = 6.08 mm
h = 4.56 mm
w = 6.08 mm
h = 4.56 mm
| Diagonal = √ | 6.08² + 4.56² | = 7.60 mm |
Surface area
Surface area is calculated by multiplying the width and the height of a sensor.
DiMAGE Z2 sensor area
Width = 5.75 mm
Height = 4.32 mm
Surface area = 5.75 × 4.32 = 24.84 mm²
Height = 4.32 mm
Surface area = 5.75 × 4.32 = 24.84 mm²
FZ28 sensor area
Width = 6.08 mm
Height = 4.56 mm
Surface area = 6.08 × 4.56 = 27.72 mm²
Height = 4.56 mm
Surface area = 6.08 × 4.56 = 27.72 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 |
DiMAGE Z2 pixel pitch
Sensor width = 5.75 mm
Sensor resolution width = 2277 pixels
Sensor resolution width = 2277 pixels
| Pixel pitch = | 5.75 | × 1000 | = 2.53 µm |
| 2277 |
FZ28 pixel pitch
Sensor width = 6.08 mm
Sensor resolution width = 3665 pixels
Sensor resolution width = 3665 pixels
| Pixel pitch = | 6.08 | × 1000 | = 1.66 µm |
| 3665 |
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 |
DiMAGE Z2 pixel area
Pixel pitch = 2.53 µm
Pixel area = 2.53² = 6.4 µm²
Pixel area = 2.53² = 6.4 µm²
FZ28 pixel area
Pixel pitch = 1.66 µm
Pixel area = 1.66² = 2.76 µm²
Pixel area = 1.66² = 2.76 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 |
DiMAGE Z2 pixel density
Sensor resolution width = 2277 pixels
Sensor width = 0.575 cm
Pixel density = (2277 / 0.575)² / 1000000 = 15.68 MP/cm²
Sensor width = 0.575 cm
Pixel density = (2277 / 0.575)² / 1000000 = 15.68 MP/cm²
FZ28 pixel density
Sensor resolution width = 3665 pixels
Sensor width = 0.608 cm
Pixel density = (3665 / 0.608)² / 1000000 = 36.34 MP/cm²
Sensor width = 0.608 cm
Pixel density = (3665 / 0.608)² / 1000000 = 36.34 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
DiMAGE Z2 sensor resolution
Sensor width = 5.75 mm
Sensor height = 4.32 mm
Effective megapixels = 3.90
Resolution horizontal: X × r = 1712 × 1.33 = 2277
Resolution vertical: X = 1712
Sensor resolution = 2277 x 1712
Sensor height = 4.32 mm
Effective megapixels = 3.90
| r = 5.75/4.32 = 1.33 |
|
Resolution vertical: X = 1712
Sensor resolution = 2277 x 1712
FZ28 sensor resolution
Sensor width = 6.08 mm
Sensor height = 4.56 mm
Effective megapixels = 10.10
Resolution horizontal: X × r = 2756 × 1.33 = 3665
Resolution vertical: X = 2756
Sensor resolution = 3665 x 2756
Sensor height = 4.56 mm
Effective megapixels = 10.10
| r = 6.08/4.56 = 1.33 |
|
Resolution vertical: X = 2756
Sensor resolution = 3665 x 2756
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 |
DiMAGE Z2 crop factor
Sensor diagonal in mm = 7.19 mm
| Crop factor = | 43.27 | = 6.02 |
| 7.19 |
FZ28 crop factor
Sensor diagonal in mm = 7.60 mm
| Crop factor = | 43.27 | = 5.69 |
| 7.60 |
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).
DiMAGE Z2 equivalent aperture
Crop factor = 6.02
Aperture = f2.8 - f3.5
35-mm equivalent aperture = (f2.8 - f3.5) × 6.02 = f16.9 - f21.1
Aperture = f2.8 - f3.5
35-mm equivalent aperture = (f2.8 - f3.5) × 6.02 = f16.9 - f21.1
FZ28 equivalent aperture
Crop factor = 5.69
Aperture = f2.8 - f4.4
35-mm equivalent aperture = (f2.8 - f4.4) × 5.69 = f15.9 - f25
Aperture = f2.8 - f4.4
35-mm equivalent aperture = (f2.8 - f4.4) × 5.69 = f15.9 - f25
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Actual size is currently adjusted to screen.
If your screen (phone, tablet, or monitor) is not in diagonal, then the actual size of a sensor won't be shown correctly.
If your screen (phone, tablet, or monitor) is not in diagonal, then the actual size of a sensor won't be shown correctly.