Kodak EasyShare LS745 vs. Leica Q3
Comparison
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| Kodak EasyShare LS745 | Leica Q3 | ||||
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Megapixels
3.90
60.30
Max. image resolution
2304 x 1728
9520 x 6336
Sensor
Sensor type
CCD
CMOS
Sensor size
1/1.8" (~ 7.11 x 5.33 mm)
36 x 24 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 | : | 22.8 |
| (ratio) | ||
| Kodak EasyShare LS745 | Leica Q3 | |
Surface area:
| 37.90 mm² | vs | 864.00 mm² |
Difference: 826.1 mm² (2180%)
Q3 sensor is approx. 22.8x bigger than LS745 sensor.
Note: You are comparing sensors of vastly different generations.
There is a gap of 19 years between Kodak LS745 (2004) and
Leica Q3 (2023).
Nineteen years is a huge amount of time,
technology wise, resulting in newer sensor being much more
efficient than the older one.
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: 4.63 µm² (48%)
A pixel on Leica Q3 sensor is approx. 48% bigger than a pixel on Kodak LS745.
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
Kodak LS745
Leica Q3
Total megapixels
62.39
Effective megapixels
60.30
Optical zoom
Yes
1x
Digital zoom
Yes
Yes
ISO sensitivity
Auto, 80, 160, 200, 400, 800
Auto, 50-100000
RAW
Manual focus
Normal focus range
60 cm
30 cm
Macro focus range
5 cm
17 cm
Focal length (35mm equiv.)
36 - 100 mm
28 mm
Aperture priority
No
Yes
Max. aperture
f3 - f4.9
f1.7
Metering
Centre weighted, Matrix, Spot
Multi, Center-weighted, Spot
Exposure compensation
±2 EV (in 1/2 EV steps)
±3 EV (in 1/3 EV steps)
Shutter priority
No
Yes
Min. shutter speed
16 sec
120 sec
Max. shutter speed
1/1400 sec
1/16000 sec
Built-in flash
External flash
Viewfinder
Optical
Electronic
White balance presets
4
5
Screen size
1.8"
3"
Screen resolution
134,000 dots
1,843,200 dots
Video capture
Max. video resolution
8192x4320 (30p/25p/24p)
Storage types
MultiMedia, Secure Digital
SD/SDHC/SDXC, UHS-II
USB
USB 1.1
USB 3.2 (10 GBit/sec)
HDMI
Wireless
GPS
Battery
Li-Ion
BP-SCL6 Lithium-ion battery
Weight
165 g
743 g
Dimensions
108 x 49 x 30 mm
130 x 80.3 x 92.6 mm
Year
2004
2023
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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 |
Kodak LS745 diagonal
The diagonal of LS745 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 |
Leica Q3 diagonal
w = 36.00 mm
h = 24.00 mm
h = 24.00 mm
| Diagonal = √ | 36.00² + 24.00² | = 43.27 mm |
Surface area
Surface area is calculated by multiplying the width and the height of a sensor.
LS745 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
Q3 sensor area
Width = 36.00 mm
Height = 24.00 mm
Surface area = 36.00 × 24.00 = 864.00 mm²
Height = 24.00 mm
Surface area = 36.00 × 24.00 = 864.00 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 |
LS745 pixel pitch
Sensor width = 7.11 mm
Sensor resolution width = 2277 pixels
Sensor resolution width = 2277 pixels
| Pixel pitch = | 7.11 | × 1000 | = 3.12 µm |
| 2277 |
Q3 pixel pitch
Sensor width = 36.00 mm
Sensor resolution width = 9510 pixels
Sensor resolution width = 9510 pixels
| Pixel pitch = | 36.00 | × 1000 | = 3.79 µm |
| 9510 |
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 |
LS745 pixel area
Pixel pitch = 3.12 µm
Pixel area = 3.12² = 9.73 µm²
Pixel area = 3.12² = 9.73 µm²
Q3 pixel area
Pixel pitch = 3.79 µm
Pixel area = 3.79² = 14.36 µm²
Pixel area = 3.79² = 14.36 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 |
LS745 pixel density
Sensor resolution width = 2277 pixels
Sensor width = 0.711 cm
Pixel density = (2277 / 0.711)² / 1000000 = 10.26 MP/cm²
Sensor width = 0.711 cm
Pixel density = (2277 / 0.711)² / 1000000 = 10.26 MP/cm²
Q3 pixel density
Sensor resolution width = 9510 pixels
Sensor width = 3.6 cm
Pixel density = (9510 / 3.6)² / 1000000 = 6.98 MP/cm²
Sensor width = 3.6 cm
Pixel density = (9510 / 3.6)² / 1000000 = 6.98 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
LS745 sensor resolution
Sensor width = 7.11 mm
Sensor height = 5.33 mm
Effective megapixels = 3.90
Resolution horizontal: X × r = 1712 × 1.33 = 2277
Resolution vertical: X = 1712
Sensor resolution = 2277 x 1712
Sensor height = 5.33 mm
Effective megapixels = 3.90
| r = 7.11/5.33 = 1.33 |
|
Resolution vertical: X = 1712
Sensor resolution = 2277 x 1712
Q3 sensor resolution
Sensor width = 36.00 mm
Sensor height = 24.00 mm
Effective megapixels = 60.30
Resolution horizontal: X × r = 6340 × 1.5 = 9510
Resolution vertical: X = 6340
Sensor resolution = 9510 x 6340
Sensor height = 24.00 mm
Effective megapixels = 60.30
| r = 36.00/24.00 = 1.5 |
|
Resolution vertical: X = 6340
Sensor resolution = 9510 x 6340
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 |
LS745 crop factor
Sensor diagonal in mm = 8.89 mm
| Crop factor = | 43.27 | = 4.87 |
| 8.89 |
Q3 crop factor
Sensor diagonal in mm = 43.27 mm
| Crop factor = | 43.27 | = 1 |
| 43.27 |
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).
LS745 equivalent aperture
Crop factor = 4.87
Aperture = f3 - f4.9
35-mm equivalent aperture = (f3 - f4.9) × 4.87 = f14.6 - f23.9
Aperture = f3 - f4.9
35-mm equivalent aperture = (f3 - f4.9) × 4.87 = f14.6 - f23.9
Q3 equivalent aperture
Crop factor = 1
Aperture = f1.7
35-mm equivalent aperture = (f1.7) × 1 = f1.7
Aperture = f1.7
35-mm equivalent aperture = (f1.7) × 1 = f1.7
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