1. Chips: Many manufacturers in the market use the same compression chip, but the quality of image compression can vary. This is due to differences in algorithms, data optimization after image compression, and how the algorithm processes the original data. In the realm of soft compression in China, the most widely used chip is Philips' 71XX series. The 71XX series offers clear images and was previously widely used for TV capture cards. Its 3D comb filter, which provides a sense of depth and spatial layering in the images, outperforms other chips. As a result, combining Philips' high-frequency head with a 71XX chip for TV cards was very popular.
2. Algorithms: When chips are the same, algorithms determine image quality. The algorithm dictates how the camera captures and compresses the original image. Questions such as whether to perform partial compression or multiple compressions can affect image quality. Excessive compression reduces image quality, but given the limitations of storage devices, especially when large-capacity hard drives were expensive, some level of compression was necessary. To strike a balance, good manufacturers use the H.264 algorithm. H.264 combines the strengths of previous standards, making significant advancements in many areas. It can save up to 50% in bitrate compared to earlier standards like H.362+ and MPPGE-4 SP, significantly reducing storage requirements.
3. Monitor Resolution: The resolution of the display refers to how clearly you can see objects. Higher resolution provides greater clarity in details, even when zooming in significantly, without distortion. Lower resolution results in perceived blurriness even without zooming. Those who have set up systems know that images are often not clear in operational conditions, and this is partly due to low resolutions. Surveillance systems typically use monitors that support 1024x768 resolution. Even if you buy a 21-inch monitor offering 1280x1024 resolution, most manufacturers only support 1024x768, which can distort the image. Therefore, a larger monitor doesn't necessarily mean better results.
4. Recording Resolution: Similar to display resolution, recording resolution is determined by algorithms. Recording resolution is directly proportional to image quality, with higher recording resolutions yielding clearer images. However, higher recording resolution also requires more storage space. The quality of image compression differs with various algorithms, even when using the same file.
5. Bitrate: Bitrate, simply put, is the amount of data in the image. The higher the bitrate (more data stored per second), the clearer the image. Reducing the bitrate means sacrificing some image details to save storage space. There is a direct relationship between bitrate and image quality. Many users opt to limit bitrate to save storage space, but they might not realize that reducing the bitrate results in poorer image quality.
2. Algorithms: When chips are the same, algorithms determine image quality. The algorithm dictates how the camera captures and compresses the original image. Questions such as whether to perform partial compression or multiple compressions can affect image quality. Excessive compression reduces image quality, but given the limitations of storage devices, especially when large-capacity hard drives were expensive, some level of compression was necessary. To strike a balance, good manufacturers use the H.264 algorithm. H.264 combines the strengths of previous standards, making significant advancements in many areas. It can save up to 50% in bitrate compared to earlier standards like H.362+ and MPPGE-4 SP, significantly reducing storage requirements.
3. Monitor Resolution: The resolution of the display refers to how clearly you can see objects. Higher resolution provides greater clarity in details, even when zooming in significantly, without distortion. Lower resolution results in perceived blurriness even without zooming. Those who have set up systems know that images are often not clear in operational conditions, and this is partly due to low resolutions. Surveillance systems typically use monitors that support 1024x768 resolution. Even if you buy a 21-inch monitor offering 1280x1024 resolution, most manufacturers only support 1024x768, which can distort the image. Therefore, a larger monitor doesn't necessarily mean better results.
4. Recording Resolution: Similar to display resolution, recording resolution is determined by algorithms. Recording resolution is directly proportional to image quality, with higher recording resolutions yielding clearer images. However, higher recording resolution also requires more storage space. The quality of image compression differs with various algorithms, even when using the same file.
5. Bitrate: Bitrate, simply put, is the amount of data in the image. The higher the bitrate (more data stored per second), the clearer the image. Reducing the bitrate means sacrificing some image details to save storage space. There is a direct relationship between bitrate and image quality. Many users opt to limit bitrate to save storage space, but they might not realize that reducing the bitrate results in poorer image quality.
