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Class: Aws::MediaConvert::Types::NoiseReducerTemporalFilterSettings
- Inherits:
-
Struct
- Object
- Struct
- Aws::MediaConvert::Types::NoiseReducerTemporalFilterSettings
- Defined in:
- (unknown)
Overview
When passing NoiseReducerTemporalFilterSettings as input to an Aws::Client method, you can use a vanilla Hash:
{
aggressive_mode: 1,
post_temporal_sharpening: "DISABLED", # accepts DISABLED, ENABLED, AUTO
speed: 1,
strength: 1,
}
Noise reducer filter settings for temporal filter.
Returned by:
Instance Attribute Summary collapse
-
#aggressive_mode ⇒ Integer
Use Aggressive mode for content that has complex motion.
-
#post_temporal_sharpening ⇒ String
Optional.
-
#speed ⇒ Integer
The speed of the filter (higher number is faster).
-
#strength ⇒ Integer
Specify the strength of the noise reducing filter on this output.
Instance Attribute Details
#aggressive_mode ⇒ Integer
Use Aggressive mode for content that has complex motion. Higher values produce stronger temporal filtering. This filters highly complex scenes more aggressively and creates better VQ for low bitrate outputs.
#post_temporal_sharpening ⇒ String
Optional. When you set Noise reducer (noiseReducer) to Temporal (TEMPORAL), you can use this setting to apply sharpening. The default behavior, Auto (AUTO), allows the transcoder to determine whether to apply filtering, depending on input type and quality. When you set Noise reducer to Temporal, your output bandwidth is reduced. When Post temporal sharpening is also enabled, that bandwidth reduction is smaller.
Possible values:
- DISABLED
- ENABLED
- AUTO
#speed ⇒ Integer
The speed of the filter (higher number is faster). Low setting reduces bit rate at the cost of transcode time, high setting improves transcode time at the cost of bit rate.
#strength ⇒ Integer
Specify the strength of the noise reducing filter on this output. Higher values produce stronger filtering. We recommend the following value ranges, depending on the result that you want: * 0-2 for complexity reduction with minimal sharpness loss * 2-8 for complexity reduction with image preservation * 8-16 for a high level of complexity reduction