HP Photosmart R725 vs. Vivitar ViviCam 6326

Comparison

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Photosmart R725 image
vs
ViviCam 6326 image
HP Photosmart R725 Vivitar ViviCam 6326
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Megapixels
6.20
6.00
Max. image resolution
2864 x 2160
2816 x 2112

Sensor

Sensor type
CCD
CCD
Sensor size
1/2.5" (~ 5.75 x 4.32 mm)
1/2.5" (~ 5.75 x 4.32 mm)
Sensor resolution
2871 x 2159
2825 x 2124
Diagonal
7.19 mm
7.19 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)
HP Photosmart R725 Vivitar ViviCam 6326
Surface area:
24.84 mm² vs 24.84 mm²
Difference: 0 mm² (0%)
R725 and 6326 sensors are the same size.
Pixel pitch
2 µm
2.04 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: 0.04 µm (2%)
Pixel pitch of 6326 is approx. 2% higher than pixel pitch of R725.
Pixel area
4 µm²
4.16 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: 0.16 µm² (4%)
A pixel on Vivitar 6326 sensor is approx. 4% bigger than a pixel on HP R725.
Pixel density
24.93 MP/cm²
24.14 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: 0.79 µm (3%)
HP R725 has approx. 3% higher pixel density than Vivitar 6326.
To learn about the accuracy of these numbers, click here.



Specs

HP R725
Vivitar 6326
Crop factor
6.02
6.02
Total megapixels
Effective megapixels
Optical zoom
3x
Yes
Digital zoom
Yes
Yes
ISO sensitivity
Auto
Auto
RAW
Manual focus
Normal focus range
50 cm
Macro focus range
10 cm
Focal length (35mm equiv.)
39 - 118 mm
35 - 105 mm
Aperture priority
No
No
Max. aperture
f3.5 - f4.2
Max. aperture (35mm equiv.)
f21.1 - f25.3
n/a
Metering
Centre weighted
Centre weighted
Exposure compensation
±2 EV (in 1/3 EV steps)
±2 EV (in 1/3 EV steps)
Shutter priority
No
No
Min. shutter speed
16 sec
Max. shutter speed
1/2000 sec
Built-in flash
External flash
Viewfinder
Optical (tunnel)
None
White balance presets
5
7
Screen size
2"
2.4"
Screen resolution
153,600 dots
Video capture
Max. video resolution
Storage types
Secure Digital
Secure Digital
USB
USB 1.0
USB 2.0 (480 Mbit/sec)
HDMI
Wireless
GPS
Battery
HP Lithium-Ion rechargeable supplied
2x AA
Weight
130 g
130 g
Dimensions
93 x 23 x 61 mm
90 x 62 x 27 mm
Year
2006
2007




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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

HP R725 diagonal

The diagonal of R725 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
Diagonal =  5.75² + 4.32²   = 7.19 mm

Vivitar 6326 diagonal

The diagonal of 6326 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
Diagonal =  5.75² + 4.32²   = 7.19 mm


Surface area

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

R725 sensor area

Width = 5.75 mm
Height = 4.32 mm

Surface area = 5.75 × 4.32 = 24.84 mm²

6326 sensor area

Width = 5.75 mm
Height = 4.32 mm

Surface area = 5.75 × 4.32 = 24.84 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

R725 pixel pitch

Sensor width = 5.75 mm
Sensor resolution width = 2871 pixels
Pixel pitch =   5.75  × 1000  = 2 µm
2871

6326 pixel pitch

Sensor width = 5.75 mm
Sensor resolution width = 2825 pixels
Pixel pitch =   5.75  × 1000  = 2.04 µm
2825


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

R725 pixel area

Pixel pitch = 2 µm

Pixel area = 2² = 4 µm²

6326 pixel area

Pixel pitch = 2.04 µm

Pixel area = 2.04² = 4.16 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

R725 pixel density

Sensor resolution width = 2871 pixels
Sensor width = 0.575 cm

Pixel density = (2871 / 0.575)² / 1000000 = 24.93 MP/cm²

6326 pixel density

Sensor resolution width = 2825 pixels
Sensor width = 0.575 cm

Pixel density = (2825 / 0.575)² / 1000000 = 24.14 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

R725 sensor resolution

Sensor width = 5.75 mm
Sensor height = 4.32 mm
Effective megapixels = 6.20
r = 5.75/4.32 = 1.33
X =  6.20 × 1000000  = 2159
1.33
Resolution horizontal: X × r = 2159 × 1.33 = 2871
Resolution vertical: X = 2159

Sensor resolution = 2871 x 2159

6326 sensor resolution

Sensor width = 5.75 mm
Sensor height = 4.32 mm
Effective megapixels = 6.00
r = 5.75/4.32 = 1.33
X =  6.00 × 1000000  = 2124
1.33
Resolution horizontal: X × r = 2124 × 1.33 = 2825
Resolution vertical: X = 2124

Sensor resolution = 2825 x 2124


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


R725 crop factor

Sensor diagonal in mm = 7.19 mm
Crop factor =   43.27  = 6.02
7.19

6326 crop factor

Sensor diagonal in mm = 7.19 mm
Crop factor =   43.27  = 6.02
7.19

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).

R725 equivalent aperture

Crop factor = 6.02
Aperture = f3.5 - f4.2

35-mm equivalent aperture = (f3.5 - f4.2) × 6.02 = f21.1 - f25.3

6326 equivalent aperture

Aperture is a lens characteristic, so it's calculated only for fixed lens cameras. If you want to know the equivalent aperture for Vivitar 6326, take the aperture of the lens you're using and multiply it with crop factor.

Crop factor for Vivitar 6326 is 6.02

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