From b6228d29860578da82e4cf9f540992120f7fc843 Mon Sep 17 00:00:00 2001 From: nrupatunga Date: Fri, 8 May 2020 22:58:17 +0530 Subject: [PATCH] input and output processing changes --- src/L0Smoothing.py | 25 +++++++++++---------- src/basketball.png | Bin 0 -> 232532 bytes src/output_python.png | Bin 0 -> 11897 bytes src/run_batch.py | 51 ++++++++++++++++++++++++++++++++++++++++++ src/stripes_jet.png | Bin 0 -> 127831 bytes 5 files changed, 64 insertions(+), 12 deletions(-) create mode 100644 src/basketball.png create mode 100644 src/output_python.png create mode 100644 src/run_batch.py create mode 100644 src/stripes_jet.png diff --git a/src/L0Smoothing.py b/src/L0Smoothing.py index 051a781..529cf2a 100644 --- a/src/L0Smoothing.py +++ b/src/L0Smoothing.py @@ -13,6 +13,7 @@ import cv2 import numpy as np +from scipy.fftpack import fft2, ifft2 from psf2otf import psf2otf @@ -32,10 +33,8 @@ def __init__(self, img_path: str, def run(self): """L0 smoothing imlementation""" - img = cv2.imread(self._img_path) - S = cv2.normalize(img, None, alpha=0, beta=1, - norm_type=cv2.NORM_MINMAX, - dtype=cv2.CV_32F) + img = cv2.imread(self._img_path, 0) + S = img / 256 if S.ndim < 3: S = S[..., np.newaxis] @@ -49,7 +48,8 @@ def run(self): psf = np.asarray([[-1], [1]]) otfy = psf2otf(psf, out_size) - Normin1 = np.fft.fft2(np.squeeze(S), axes=(0, 1)) + # Normin1 = np.fft.fft2(np.squeeze(S), axes=(0, 1)) + Normin1 = fft2(np.squeeze(S), axes=(0, 1)) Denormin2 = np.square(abs(otfx)) + np.square(abs(otfy)) if D > 1: Denormin2 = Denormin2[..., np.newaxis] @@ -92,11 +92,13 @@ def run(self): v_diff = np.vstack([first_row, v_diff]) Normin2 = h_diff + v_diff - Normin2 = beta * np.fft.fft2(Normin2, axes=(0, 1)) + # Normin2 = beta * np.fft.fft2(Normin2, axes=(0, 1)) + Normin2 = beta * fft2(Normin2, axes=(0, 1)) FS = np.divide(np.squeeze(Normin1) + np.squeeze(Normin2), Denormin) - S = np.real(np.fft.ifft2(FS, axes=(0, 1))) + # S = np.real(np.fft.ifft2(FS, axes=(0, 1))) + S = np.real(ifft2(FS, axes=(0, 1))) if False: S_new = S * 256 S_new = S_new.astype(np.uint8) @@ -111,13 +113,12 @@ def run(self): if __name__ == "__main__": - img_path = './pflower.jpg' + img_path = './stripes_jet.png' img = cv2.imread(img_path) - S = L0Smoothing(img_path, param_lambda=0.01).run() + S = L0Smoothing(img_path, param_lambda=2.5e-1, param_kappa=1.05).run() S = np.squeeze(S) - S = cv2.normalize(S, None, alpha=0, beta=255, - norm_type=cv2.NORM_MINMAX, - dtype=cv2.CV_32F) + S = np.clip(S, 0, 1) + S = S * 255 S = S.astype(np.uint8) cv2.imshow('Input', img) cv2.imshow('L0-Smooth', S) diff --git a/src/basketball.png b/src/basketball.png new file mode 100644 index 0000000000000000000000000000000000000000..5027b15e1d887c57102a7ebaa1802366604b3206 GIT binary patch literal 232532 zcmV(|K+(U6P)Px#1ZP1_K>z@;j|==^1poj532;bRa{vGi!vFvd!vV){sAK>D|D{PpK~#8NO#SC~ zTvw9qi}JKN-DM<|Bub(;paH%2R-zLriKHk}qUaq6?}0>m@4fd932#Y)-bpG+Wx7uH 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