Georgia Institute of Technology/Digital Signal Processing9 DFT, DCT, DST, DWT, KLT Super Helpful Reference for DCT: https://m.blog.naver.com/kukuta14/60017894127 DCT(Discrete Cosine Transform) Discrete Cosine Transform 의 약자입니다.n개의 데이터를 n개의 Cosine 함수의 합으로표현하여 데이터... blog.naver.com Super Helpful Reference for DCT: https://vir-us.tistory.com/entry/2%EC%B0%A8%EC%9B%90-DCTDiscrete-cosine-transform-%EC%9D%B4%EC%82%B0-%EC%BD%94%EC%82%AC%EC%9D%B8-%EB%B3%80%ED%99%98 2차원 DCT(Discrete co.. 2023. 10. 16. Interpolation x disturb the context, content : challenge human vision system can not realize even though the high frequency has gone. However, if you have a bad interpolation then human can acknowledge it. Upsampling, but cannot distinguish the performance drop Only Interpolation, not AI you have to determine what artifacts mean 2x2 matrix 4 intensity values at cr and cb. how much you downsampling the cr than.. 2023. 9. 12. Frequency Response & DTFT Reference: https://www.youtube.com/watch?v=-UqXHjpH3lA 2D Frequency Response Impulse Response vs. Frequency Response vs. Transfer Function Impulse Response: Frequency Response: Transfer Function: Example 2D FFT could be turn to the product of two 1D FFT. Fourier Transform Normalized case: -1/2 to 1/2 FFT Shift 1. Visualization of FFT Red horizontal line: Anything on the red horizontal line has o.. 2023. 9. 11. Sampling Reference: Digital Image Processing from Prof. Ghassan Alregib Analog vs. Digital Why 'Rectangular' Lattice/Sampling? m = horizontal sampling intervals of period (X, 2X, 3X, ...) n = vertical sampling intervals of period (Y, 2Y, 3Y, ...) Here, X and Y refers to the sampling interval in the x/y direction each. Rectangular sampling is defined by the periodicity of the sampling interval in the x/y .. 2023. 9. 6. 2D Convolution Reference : https://youtu.be/-UqXHjpH3lA Issue of Out-of-region Values Often, we require the same size for input and output in LSI system. But when a finite support image is convolved with a finite support impulse response, the resulting image is larger(x+f-1) than the impulse response. This is not desirable in applications that require the same size for input and output. The convolution operait.. 2023. 9. 6. Multidimensional Signal Processing Reference: Digital Image Processing from Prof. Ghassan Alregib 3 common way for representing image Matrix(or an array of columns) 2D field of impulses multidimensional random field regard each pixel as an random variable, which has a probability distribution function. ex. gaussian noise 2D signals Unit sample (extension of 1-D impulse function) Unit step (extension of 1-D unit step function) Per.. 2023. 9. 5. 이전 1 2 다음
