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https://github.com/akai-katto/dandere2x.git
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84 lines
2.9 KiB
C++
84 lines
2.9 KiB
C++
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/*
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This file is part of the Dandere2x project.
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Dandere2x is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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Dandere2x is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with Foobar. If not, see <https://www.gnu.org/licenses/>.
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*/
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/*
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========= Copyright aka_katto 2018, All rights reserved. ============
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Original Author: aka_katto
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Date: 4/11/20
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Purpose: Compute the Structural Similarity Index Metric (SSIM) between
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two images.
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Notes:
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- Note sure if this is implemented correctly - needs peer review.
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- Implementation was inspired / modified from this java implementation:
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"SsimCalculator.java" from
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https://github.com/rhys-e/structural-similarity
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- Again, I'm not sure if our implementations are correct or not. The
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outputs greatly differ from the outputs Python's Numpy Library
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gives for SSIM is different from mine.
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===================================================================== */
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#ifndef CPP_REWORK_SSIM_FUNCTION_H
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#define CPP_REWORK_SSIM_FUNCTION_H
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#include "../frame/Frame.h"
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#include "AbstractEvaluator.h"
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class SSIM_Function: public AbstractEvaluator {
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public:
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static inline double compute_ssim(const Frame& image_a, const Frame& image_b,
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int image_a_x_start, int image_a_y_start,
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int image_b_x_start, int image_b_y_start,
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int block_size);
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protected:
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bool evaluate_implementation(const Frame ¤t_frame,
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const Frame &next_frame,
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const Frame ¤t_frame_compressed,
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int initial_x, int initial_y,
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int variable_x, int variable_y,
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int block_size) override;
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public:
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// short-handed notation used for class
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using RGB = char; // 'r' == 'red', 'g' == 'green', 'b' == 'blue
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static inline double compute_ssim_color(const Frame& image_a, const Frame& image_b,
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int image_a_x_start, int image_a_y_start,
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int image_b_x_start, int image_b_y_start,
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int block_size, RGB rgb_component);
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static inline double compute_average_color(const Frame &image,
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int start_x, int start_y,
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int block_size, RGB rgb_component);
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static inline char get_rgb(const Frame::Color &col, const RGB rgb_component);
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};
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#endif //CPP_REWORK_SSIM_FUNCTION_H
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