def change(self):
if self.normal_radio.isChecked():
result = self.reference
self.gray_check.setEnabled(False)
self.equalize_check.setEnabled(False)
self.last_radio = self.normal_radio
elif self.difference_radio.isChecked():
result = self.difference
self.gray_check.setEnabled(True)
self.equalize_check.setEnabled(True)
self.last_radio = self.difference_radio
elif self.ssim_radio.isChecked():
result = self.ssim_map
self.gray_check.setEnabled(False)
self.equalize_check.setEnabled(True)
self.last_radio = self.ssim_radio
elif self.butter_radio.isChecked():
result = self.butter_map
self.gray_check.setEnabled(True)
self.equalize_check.setEnabled(False)
self.last_radio = self.butter_radio
else:
self.last_radio.setChecked(True)
return
if self.equalize_check.isChecked():
result = equalize_img(result)
if self.gray_check.isChecked():
result = desaturate(result)
self.reference_viewer.update_original(result)
def process(self):
start = time()
scale = self.scale_spin.value()
contrast = int(self.contrast_spin.value() / 100 * 128)
linear = self.linear_check.isChecked()
grayscale = self.gray_check.isChecked()
if not linear:
difference = cv.absdiff(self.original, self.compressed.astype(np.float32) / 255)
ela = cv.convertScaleAbs(cv.sqrt(difference) * 255, None, scale / 20)
else:
ela = cv.convertScaleAbs(cv.subtract(self.compressed, self.image), None, scale)
ela = cv.LUT(ela, create_lut(contrast, contrast))
if grayscale:
ela = desaturate(ela)
self.viewer.update_processed(ela)
self.info_message.emit(self.tr('Error Level Analysis = {}'.format(elapsed_time(start))))
def process(self):
start = time()
quality = self.quality_spin.value()
scale = self.scale_spin.value() / 20
contrast = int(self.contrast_spin.value() / 100 * 128)
equalize = self.equalize_check.isChecked()
grayscale = self.gray_check.isChecked()
self.scale_spin.setEnabled(not equalize)
self.contrast_spin.setEnabled(not equalize)
compressed = compress_jpeg(self.image, quality).astype(np.float32) / 255
difference = cv.absdiff(self.original, compressed)
if equalize:
ela = equalize_img((difference * 255).astype(np.uint8))
else:
ela = cv.convertScaleAbs(cv.sqrt(difference) * 255, None, scale)
ela = cv.LUT(ela, create_lut(contrast, contrast))
if grayscale:
ela = desaturate(ela)
self.viewer.update_processed(ela)
self.info_message.emit(self.tr('Error Level Analysis = {}'.format(elapsed_time(start))))
def change(self):
self.gray_check.setEnabled(False)
self.equal_check.setEnabled(False)
if self.normal_radio.isChecked():
self.reference_viewer.update_original(self.reference)
self.last_radio = self.normal_radio
elif self.diff_radio.isChecked():
self.gray_check.setEnabled(True)
self.equal_check.setEnabled(True)
if self.equal_check.isChecked():
result = self.equalized
else:
result = self.difference
if self.gray_check.isChecked():
result = desaturate(result)
self.reference_viewer.update_original(result)
self.last_radio = self.diff_radio
elif self.map_radio.isChecked():
self.reference_viewer.update_original(self.indexmap)
self.last_radio = self.map_radio
else:
self.last_radio.setChecked(True)