Fast function for 1D and 2D DCT type II based in tensorflow dct
npm install dct_jstypescript
import { dct } from 'dct_js'
import { tensor } from '@tensorflow/tfjs-node'dct(tensor([1,2,3,4,5,6,7,8,9,10])).print()
`
output:
Tensor
[109.9999695, -40.3603821, 0.0000229, -4.3230319, -0.0000076, -1.4142065, 0.0000062, -0.5718536, -0.0000076, -0.1603523]
Example for 2d:
typescript
const { dct } = require('dct_js')
const { tensor } = require('@tensorflow/tfjs-node')dct(tensor([
[1,2,3,4,5],
[5,4,3,2,1],
[6,7,8,9,10],
[6,7,8,9,10],
[1,2,3,4,5],
])).print()
`
output:
Tensor
[[29.9999924, -9.9595966, 0.0000076, -0.8980582, 0.0000076],
[29.9999924, 9.9595852 , 0.0000072, 0.8980522 , 0.0000097],
[79.9999771, -9.9596033, 0.0000196, -0.8980618, 0.0000159],
[79.9999771, -9.9596033, 0.0000196, -0.8980618, 0.0000159],
[29.9999924, -9.9595966, 0.0000076, -0.8980582, 0.0000076]]
Attention: The tests guarantee an accuracy of 85% of the result in up to 7 floating point places, compared to the dct function implemented in python by tensorflow.Tests:
https://github.com/certainlyWrong/DCT_JS_python-tests
Copyright (c) 2015 Vail Systems
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