Temporal noise reduction analyzes multiple frames of a video or sequence of images to identify and remove noise while preserving detail.

Median filtering is effective in reducing noise in astrophotography as it preserves the edges and details of stars while removing noise.

All of the mentioned noise reduction techniques (luminance, chrominance, and color noise reduction) are effective in reducing noise in high ISO photography.

Dark frame subtraction, flat frame correction, and bias frame subtraction are all techniques used to reduce noise in long exposure photography.

High-pass filtering is often used in wildlife photography to reduce noise while preserving the details and textures of the subject.

Edge-preserving smoothing is effective in reducing noise in macro photography as it preserves the sharp edges and details of the subject while removing noise.

Graduated neutral density filters, polarizing filters, and noise reduction software can all be used to reduce noise in landscape photography.

Skin smoothing, frequency separation, and dodge and burn techniques can all be used to reduce noise in portrait photography.

Motion blur reduction, camera shake reduction, and high ISO noise reduction are all techniques used to reduce noise in sports photography.

Background subtraction, object isolation, and color correction techniques can all be used to reduce noise in product photography.

Lens correction, perspective correction, and noise reduction software can all be used to reduce noise in architectural photography.

Color grading, white balance adjustment, and noise reduction software can all be used to reduce noise in food photography.

HDR photography, panorama stitching, and noise reduction software can all be used to reduce noise in travel photography.

Black and white conversion, grain addition, and noise reduction software can all be used to reduce noise in street photography.

Skin smoothing, color correction, and noise reduction software can all be used to reduce noise in wedding photography.