Noise Model is a computational photography technique that can also be referred to as algorithms that help reduce noise within the photos. If you have ever taken photos in low light conditions then you most likely have faced difficulties in taking high-quality shots which happens because the camera is unable to capture enough light and there is noise produced in the image which reduces the quality even more.
LMC 8.4 Camera app comes with a built-in Noise model feature that helps to reduce noise from low-light photography and allows users to capture more detailed and high-quality photos. LMC8.4 allows users to enable noise models for the specific camera lens such as main camera, front camera, wide angle, telephoto, etc.
What is Noise Model in LMC 8.4
LMC 8.4 offers an advanced Noise Modeller feature that minimizes the graininess from the image, detects the pattern of noise, and then reduces it to improve the image quality and detailing. This app uses Google’s machine learning technology that knows the difference between image detail and noise. This model is quite well trained on the vast range of datasets and it reduces the noise while maintaining the image quality.
How to Use Noise Model?
If you want to activate the Noise Model feature in your LMC 8.4 camera app and improve your low-light photography then follow the below mentioned steps carefully.
- Firstly, open the LMC 8.4 app and go to the Settings.
- Select the Processing Function option.
- Tap on the Noise model.
- Choose the specific camera lens.
- Click on Unlock the noise model and select unblock to activate the noise model feature.
Does Noise Model Improve Photo Quality?
For those who frequently photograph from mobile phone in low-light conditions, the resulting images often appear grainy with reduced detail and increased noise. This significantly detracts from the overall quality of the photos. However, using the Noise Modeller feature in LMC 8.4 can substantially mitigate this issue by minimizing noise, thereby producing higher-quality images with greater clarity.