Package gov.nih.mipav.model.file
Class charls.lossless_traits32quad
java.lang.Object
gov.nih.mipav.model.file.charls.lossless_traits32quad
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charls
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Field Summary
FieldsModifier and TypeFieldDescription(package private) static final boolean(package private) final int(package private) int(package private) static final boolean(package private) final int(package private) final int(package private) static final int(package private) charls.PixelType(package private) final int(package private) final int(package private) final int(package private) charls.SampleType(package private) charls.traits -
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescription(package private) final intcompute_error_value(int d) (package private) intcompute_reconstructed_sample(int predicted_value, int error_value) (package private) intcorrect_prediction(int predicted) (package private) final booleanis_near(int lhs, int rhs) (package private) final booleanis_near(charls.quad<Integer> lhs, charls.quad<Integer> rhs) (package private) booleanis_valid()(package private) final intmodulo_range(int error_value)
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Field Details
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BitsPerSample
int BitsPerSample -
sample_t
charls.SampleType sample_t -
pixel_t
charls.PixelType pixel_t -
always_lossless_and_default_parameters
static final boolean always_lossless_and_default_parameters- See Also:
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fixed_bits_per_pixel
static final boolean fixed_bits_per_pixel- See Also:
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maximum_sample_value
final int maximum_sample_value -
near_lossless
static final int near_lossless- See Also:
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quantized_bits_per_sample
final int quantized_bits_per_sample -
range
final int range -
bits_per_sample
final int bits_per_sample -
limit
final int limit -
quantization_range
final int quantization_range -
tr
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Constructor Details
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lossless_traits32quad
lossless_traits32quad()
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Method Details
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compute_error_value
final int compute_error_value(int d) -
is_near
final boolean is_near(int lhs, int rhs) -
is_near
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modulo_range
final int modulo_range(int error_value) -
compute_reconstructed_sample
int compute_reconstructed_sample(int predicted_value, int error_value) -
correct_prediction
int correct_prediction(int predicted) -
is_valid
boolean is_valid()
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