Comparison of image quality in popular surveillance cameras

Comparison of image quality in popular surveillance cameras

When comparing the image quality of popular surveillance cameras, it is worth noting:

  • Resolution: the higher the resolution, the better the image quality.
  • Lighting conditions: Cameras with technology Starlight and cameras with white light illumination have an advantage in low light or darkness.
  • Image compression formats: Format H.265 provides better compression and faster transmission while maintaining good image quality.
  • Image enhancement technologies: WDR, 3DNR, ROI or Defog can significantly improve image quality in different lighting conditions.

How to evaluate the image quality of surveillance cameras?

The image quality of surveillance cameras can be assessed by analyzing such parameters as resolution, resistance to low light conditions, compression formats and image enhancement technologies used. Benchmark tests, such as recording in different lighting conditions or at different camera settings, can help assess image quality.

Analysis of the effect of lighting conditions on image quality

Lighting conditions have a significant impact on the image quality of surveillance cameras. In good lighting conditions, most cameras provide good image quality. However, in case of low light or darkness, cameras equipped with night-lighting technologies, such as infrared (IR) or white light, have an advantage over models without such features. It is worth noting how the various cameras perform in the dark and their sensitivity adjustment options.

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Comparison of image compression formats

What are the advantages and disadvantages of popular image compression formats for surveillance cameras?

The most popular video compression formats for surveillance cameras are H.264, H.265 and MJPEG.



Good image quality with relatively low bandwidth and memory consumption

Widely used and compatible with most devices


Less efficient compression than H.265

Need more bandwidth than H.265 with similar image quality



Better compression than H.264, resulting in smaller file size and faster transmission

Better image quality retention at lower bandwidths


Higher hardware requirements

Less compatibility with older devices



Simple format, easy to implement and use

Good image quality when there is little movement on stage

Best use as evidence


High bandwidth and memory consumption compared to H.264 and H.265

Weaker image quality with fast movement on the scene.

Can lose frames

How do compression formats affect the image quality of popular surveillance cameras?

Compression formats affect image quality by balancing file size, transmission speed and preservation of image detail. H.265 offers better compression than H.264, allowing for smaller file size and faster transmission while maintaining good image quality. MJPEG can provide good image quality with little movement in the scene, but can be less effective with fast movement.

The role of image enhancement technologies

What image enhancement technologies are used in popular surveillance cameras?

Popular surveillance cameras use technologies such as:

Wide Dynamic Range (WDR)

Digital noise reduction (2D-NR, 3D-NR)

Area of Interest (ROI)

Fog and drizzle reduction (Defog)

Electronic image stabilization (EIS)

Correction of lens distortion

How does the efficiency of these technologies affect the image quality of the compared cameras?

Image enhancement technologies have a significant impact on the image quality of surveillance cameras. WDR Helps produce better images when there are large differences in lighting,2D-NR and 3D-NR Reduces low-light noise, ROI Improves quality in selected areas, Defog Improves image quality in rain and fog, EIS that is, image stabilization minimizes shake and distortion due to camera movement, and lens distortion correction improves image quality by eliminating geometric distortion.

Choosing the right surveillance camera

What factors should be considered when choosing a surveillance camera?

When choosing a surveillance camera, it is important to consider:

Image resolution

Camera sensitivity i.e. resistance to low light conditions

Image compression format

Image enhancement technologies

Network infrastructure requirements


What are the recommendations for choosing a camera with image quality in mind?

To choose the right surveillance camera, taking into account the image quality, you can follow the recommendations below:

  • Choose a camera with the right resolution and the right lens , adapted to the size of the monitored area and the requirements of the system.
  • Determine what lighting conditions will prevail in the monitored area, and choose a camera with night-lightingj technology, if required.
  • Decide on an image compression format that meets your network bandwidth, memory and image quality requirements.
  • Choose a camera with image enhancement technologies such as WDR, DNR, image stabilization and lens distortion correction.
  • Consider your budget and available resources, but keep in mind that investing in better image quality can translate into better surveillance system performance and greater security.

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