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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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# ˅
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import numpy as np
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import cv2
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import os
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class ImgProcessor:
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"""!
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@brief Performs alpha blending and gamma correction.
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This class provides methods for image processing, including alpha blending
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of overlapping image regions and gamma correction for brightness adjustment.
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"""
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def __init__(self, config):
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"""!
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@brief Initializes the ImgProcessor object.
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Sets the configuration object to retrieve parameters like overlap width
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and gamma values.
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@param config Configuration object containing parameters.
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"""
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self.__config = config
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def alphaBlend(self, l_img, r_img):
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"""!
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@brief Performs alpha blending on overlapping regions of two images.
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Blends the overlapping regions of the left and right images using
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a linear gradient alpha mask.
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@param l_img Left image.
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@param r_img Right image.
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@return Tuple containing processed left and right images.
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"""
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overlap_width = self.__config.getOverlapWidth()
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l_overlap = l_img[:, -overlap_width:, :].copy()
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r_overlap = r_img[:, :overlap_width, :].copy()
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height = l_overlap.shape[0]
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alpha = np.linspace(1, 0, overlap_width).reshape(1, overlap_width, 1)
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alpha = np.tile(alpha, (height, 1, 3))
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l_overlap = (alpha * l_overlap).astype(np.uint8)
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r_overlap = ((1 - alpha) * r_overlap).astype(np.uint8)
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l_common = l_img[:, :-overlap_width, :]
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r_common = r_img[:, overlap_width:, :]
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l_processed = np.concatenate([l_common, l_overlap], axis=1)
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r_processed = np.concatenate([r_overlap, r_common], axis=1)
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return l_processed, r_processed
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def GammaCorrection(self, img):
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"""!
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@brief Applies gamma correction to an image.
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Adjusts the brightness of the image using gamma correction based
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on the gamma value in the configuration.
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@param img Input image.
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@return Gamma-corrected image.
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"""
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gamma = self.__config.getGamma()
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inv_gamma = 1.0 / gamma
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lookup_table = np.array([((i / 255.0) ** inv_gamma) * 255 for i in range(256)]).astype("uint8")
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corrected_image = cv2.LUT(img, lookup_table)
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return corrected_image
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def cropImage(self):
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"""!
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@brief Crops the left and right halves of an image with overlap.
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Reads the image from the specified path, splits it into left and
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right halves with the overlap region, and returns the cropped images.
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@return Tuple containing cropped left and right images.
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"""
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path = str(os.getcwd() + self.__config.getImgPath())
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overlap_width = self.__config.getOverlapWidth()
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image = cv2.imread(path)
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width = image.shape[1]
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l_img = image[:, :width // 2 + overlap_width, :]
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r_img = image[:, width // 2 - overlap_width:, :]
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return l_img, r_img
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