Image_Artifact_Visualizer.py

import cv2
import numpy as np
import tkinter as tk
from tkinter import filedialog
from tkinterdnd2 import DND_FILES, TkinterDnD
from PIL import Image, ImageTk
import os

class ImageViewer(TkinterDnD.Tk):
    def __init__(self):
        super().__init__()

        self.title("Image Artifact Visualizer")
        self.geometry("800x600")

        # キャンバスを作成
        self.canvas = tk.Canvas(self, bg="black")
        self.canvas.pack(fill=tk.BOTH, expand=True)

        # 画像データ
        self.image = None
        self.tk_image = None
        self.zoom_factor = 1.0
        self.offset_x = 0
        self.offset_y = 0

        # マウスドラッグ用
        self.start_x = 0
        self.start_y = 0
        self.is_dragging = False

        # イベント設定
        self.canvas.bind("<MouseWheel>", self.zoom_image)
        self.canvas.bind("<ButtonPress-1>", self.start_drag)
        self.canvas.bind("<B1-Motion>", self.do_drag)
        self.canvas.bind("<ButtonRelease-1>", self.end_drag)

        # ドラッグ＆ドロップの設定
        self.drop_target_register(DND_FILES)
        self.dnd_bind("<<Drop>>", self.on_drop)

        # ファイル選択ボタン
        btn = tk.Button(self, text="Select Image", command=self.select_file, font=("Arial", 12))
        btn.pack(side=tk.BOTTOM, pady=10)

    def select_file(self):
        file_path = filedialog.askopenfilename(filetypes=[("Image Files", "*.jpg;*.jpeg;*.png;*.webp")])
        if file_path:
            self.load_image(file_path)

    def on_drop(self, event):
        file_path = event.data.strip("{}")  # パスの前後の{}を削除
        if os.path.isfile(file_path):
            self.load_image(file_path)

    def load_image(self, file_path):
        try:
            file_path = os.path.normpath(file_path)  # 日本語や特殊文字対応

            # Pillowで画像を読み込む（OpenCVのimreadの代わり）
            img_pil = Image.open(file_path).convert("L")  # モノクロ化
            img_cv = np.array(img_pil)  # OpenCV用に変換

            # **アーティファクト強調処理**
            img_cv = self.enhance_artifacts(img_cv)

            self.image = Image.fromarray(img_cv)  # OpenCV → PIL
            self.zoom_factor = 1.0
            self.offset_x = 0
            self.offset_y = 0
            self.update_image()

        except Exception as e:
            print(f"Error loading image: {e}")

    def enhance_artifacts(self, img_cv):
        """JPEGノイズやブロックアーティファクトを強調"""
        img_blur = cv2.GaussianBlur(img_cv, (3, 3), 0)  # ぼかし
        img_sharp = cv2.addWeighted(img_cv, 2.5, img_blur, -1.5, 0)  # シャープ化

        # ヒストグラム平坦化でコントラスト強調
        img_eq = cv2.equalizeHist(img_sharp)

        return img_eq

    def update_image(self):
        if self.image:
            # 画像のサイズ調整
            img_resized = self.image.resize(
                (int(self.image.width * self.zoom_factor), int(self.image.height * self.zoom_factor)),
                Image.Resampling.LANCZOS
            )
            self.tk_image = ImageTk.PhotoImage(img_resized)

            # キャンバス更新
            self.canvas.delete("all")
            self.canvas.create_image(
                self.offset_x + self.canvas.winfo_width() // 2,
                self.offset_y + self.canvas.winfo_height() // 2,
                image=self.tk_image,
                anchor=tk.CENTER
            )

    def zoom_image(self, event):
        """マウスホイールでズーム"""
        old_zoom = self.zoom_factor
        if event.delta > 0:
            self.zoom_factor *= 1.1  # ズームイン
        else:
            self.zoom_factor /= 1.1  # ズームアウト

        # ズーム位置の補正
        scale_factor = self.zoom_factor / old_zoom
        self.offset_x = int(self.offset_x * scale_factor)
        self.offset_y = int(self.offset_y * scale_factor)

        self.update_image()

    def start_drag(self, event):
        """マウスドラッグ開始"""
        self.start_x = event.x
        self.start_y = event.y
        self.is_dragging = True

    def do_drag(self, event):
        """マウスドラッグ処理"""
        if self.is_dragging:
            self.offset_x += event.x - self.start_x
            self.offset_y += event.y - self.start_y
            self.start_x = event.x
            self.start_y = event.y
            self.update_image()

    def end_drag(self, event):
        """マウスドラッグ終了"""
        self.is_dragging = False

if __name__ == "__main__":
    app = ImageViewer()
    app.mainloop()