VHDLで画像処理をマスター！5つのステップと21の実践コード

entity ImageLoader is
    Port ( clk : in STD_LOGIC;
           pixel_data_in : in STD_LOGIC_VECTOR(7 downto 0);
           pixel_data_out : out STD_LOGIC_VECTOR(7 downto 0));
end ImageLoader;

architecture Behavior of ImageLoader is
begin
    process(clk)
    begin
        if rising_edge(clk) then
            pixel_data_out <= pixel_data_in;
        end if;
    end process;
end Behavior;

entity BrightnessAdjust is
    Port ( clk : in STD_LOGIC;
           pixel_data_in : in STD_LOGIC_VECTOR(7 downto 0);
           adjust_value : in STD_LOGIC_VECTOR(7 downto 0);
           pixel_data_out : out STD_LOGIC_VECTOR(7 downto 0));
end BrightnessAdjust;

architecture Behavior of BrightnessAdjust is
begin
    process(clk)
    begin
        if rising_edge(clk) then
            pixel_data_out <= std_logic_vector(unsigned(pixel_data_in) + unsigned(adjust_value));
        end if;
    end process;
end Behavior;

entity ContrastAdjust is
    Port ( clk : in STD_LOGIC;
           pixel_data_in : in STD_LOGIC_VECTOR(7 downto 0);
           scale_factor : in STD_LOGIC_VECTOR(7 downto 0);
           pixel_data_out : out STD_LOGIC_VECTOR(7 downto 0));
end ContrastAdjust;

architecture Behavior of ContrastAdjust is
begin
    process(clk)
    begin
        if rising_edge(clk) then
            pixel_data_out <= std_logic_vector(unsigned(pixel_data_in) * unsigned(scale_factor));
        end if;
    end process;
end Behavior;

library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;

entity smoothing_filter is
    Port ( clk : in STD_LOGIC;
           input_pixel : in STD_LOGIC_VECTOR(7 downto 0);
           output_pixel : out STD_LOGIC_VECTOR(7 downto 0));
end smoothing_filter;

architecture Behavioral of smoothing_filter is
    signal buffer : array (0 to 2, 0 to 2) of STD_LOGIC_VECTOR(7 downto 0) := (others => (others => (others => '0')));
begin
process(clk)
    variable sum : integer := 0;
begin
    if rising_edge(clk) then
        for i in 0 to 2 loop
            for j in 0 to 2 loop
                if i = 2 and j = 2 then
                    buffer(i, j) <= input_pixel;
                else
                    buffer(i, j) <= buffer(i, j + 1);
                end if;
                sum := sum + to_integer(buffer(i,j));
            end loop;
        end for;
        output_pixel <= std_logic_vector(to_unsigned(sum/9, 8));
    end if;
end process;
end Behavioral;

-- モジュール宣言
module resize(
    input clock,            -- クロック
    input reset,            -- リセット
    input [7:0] input_data, -- 入力画像データ
    output [7:0] output_data -- 出力画像データ
);

-- パラメータ定義
parameter SCALE_FACTOR = 2; -- 拡大・縮小の倍率

-- 内部変数の宣言
reg [7:0] buffer[0:SCALE_FACTOR-1]; -- データバッファ
integer i;

-- 画像の拡大・縮小処理
always @(posedge clock or posedge reset) begin
    if (reset) begin
        for (i = 0; i < SCALE_FACTOR; i = i + 1) begin
            buffer[i] <= 8'd0;
        end
    end else begin
        -- 線形補間法を利用してピクセル間の色を計算
        for (i = 0; i < SCALE_FACTOR-1; i = i + 1) begin
            buffer[i] <= buffer[i+1];
        end
        buffer[SCALE_FACTOR-1] <= input_data;
        output_data <= (buffer[0] + buffer[SCALE_FACTOR-1]) / 2;
    end
end

endmodule

library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;

entity ImageRotate is
    Port ( clk : in  STD_LOGIC;
           angle : in  INTEGER; -- 回転角度
           input_pixel : in  STD_LOGIC_VECTOR(7 downto 0);
           output_pixel : out  STD_LOGIC_VECTOR(7 downto 0));
end ImageRotate;

architecture Behavioral of ImageRotate is
begin
process(clk)
    variable x_center, y_center : INTEGER;
    variable x_new, y_new : INTEGER;
    variable cos_val, sin_val : REAL;
begin
    if rising_edge(clk) then
        -- 中心点を計算
        x_center := image_width / 2;
        y_center := image_height / 2;

        -- 角度からcosとsinの値を計算
        cos_val := cos(to_radians(angle));
        sin_val := sin(to_radians(angle));

        -- 回転変換
        x_new := x_center + (input_pixel(15 downto 8) - x_center) * cos_val 
                 - (input_pixel(7 downto 0) - y_center) * sin_val;
        y_new := y_center + (input_pixel(15 downto 8) - x_center) * sin_val 
                 + (input_pixel(7 downto 0) - y_center) * cos_val;

        -- 新しい位置にピクセルを配置
        output_pixel(15 downto 8) := x_new;
        output_pixel(7 downto 0) := y_new;
    end if;
end process;

end Behavioral;

-- カスタマイズ例: 回転の基点を(100, 100)に設定
x_center := 100;
y_center := 100;

library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;

entity noise_removal is
    Port ( clk : in STD_LOGIC;
           input_pixel : in STD_LOGIC_VECTOR(7 downto 0);
           output_pixel : out STD_LOGIC_VECTOR(7 downto 0));
end noise_removal;

architecture Behavioral of noise_removal is
    signal avg_pixel : STD_LOGIC_VECTOR(7 downto 0);
    type pixel_array is array(2 downto 0) of STD_LOGIC_VECTOR(7 downto 0);
    signal pixel_buffer : pixel_array := (others => "00000000");
begin
    process(clk)
    begin
        if rising_edge(clk) then
            pixel_buffer(2) <= pixel_buffer(1);
            pixel_buffer(1) <= pixel_buffer(0);
            pixel_buffer(0) <= input_pixel;

            avg_pixel <= (pixel_buffer(2) + pixel_buffer(1) + pixel_buffer(0)) / 3;
            output_pixel <= avg_pixel;
        end if;
    end process;
end Behavioral;

library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;

entity EdgeDetection is
    Port ( clk : in STD_LOGIC;
           rst : in STD_LOGIC;
           img_in : in STD_LOGIC_VECTOR(7 downto 0);
           img_out : out STD_LOGIC_VECTOR(7 downto 0));
end EdgeDetection;

architecture Behavioral of EdgeDetection is
    signal sobel_x, sobel_y, gradient : STD_LOGIC_VECTOR(8 downto 0);
begin
    sobel_x <= (2*img_in(2) + img_in(1) + img_in(3) - (2*img_in(6) + img_in(5) + img_in(7)));
    sobel_y <= (2*img_in(0) + img_in(1) + img_in(6) - (2*img_in(4) + img_in(3) + img_in(5)));

    gradient <= sqrt(sobel_x*sobel_x + sobel_y*sobel_y);
    img_out <= gradient(7 downto 0);
end Behavioral;

signal threshold : STD_LOGIC_VECTOR(7 downto 0) := "10000000";
signal is_edge : STD_LOGIC;
...
is_edge <= '1' when gradient >= threshold else '0';
img_out <= (others => is_edge);

library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;

entity ColorAdjust is
    Port ( R_in : in STD_LOGIC_VECTOR(7 downto 0);
           G_in : in STD_LOGIC_VECTOR(7 downto 0);
           B_in : in STD_LOGIC_VECTOR(7 downto 0);
           R_out : out STD_LOGIC_VECTOR(7 downto 0);
           G_out : out STD_LOGIC_VECTOR(7 downto 0);
           B_out : out STD_LOGIC_VECTOR(7 downto 0));
end ColorAdjust;

architecture Behavior of ColorAdjust is
begin
    process(R_in, G_in, B_in)
    variable tempR, tempG, tempB: STD_LOGIC_VECTOR(7 downto 0);
    begin
        -- ここで色調整の計算を行います
        tempR := R_in + "00100000"; -- 赤色を増加
        tempG := G_in - "00100000"; -- 緑色を減少
        tempB := B_in;              -- 青色は変更なし

        R_out <= tempR;
        G_out <= tempG;
        B_out <= tempB;
    end process;
end Behavior;

library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;

entity ImageComposite is
    Port ( bg_img : in  STD_LOGIC_VECTOR(7 downto 0); -- 背景画像データ
          fg_img : in  STD_LOGIC_VECTOR(7 downto 0); -- 前景画像データ
          x : in  STD_LOGIC_VECTOR(11 downto 0); -- x座標
          y : in  STD_LOGIC_VECTOR(11 downto 0); -- y座標
          result_img : out  STD_LOGIC_VECTOR(7 downto 0)); -- 合成後の画像データ
end ImageComposite;

architecture Behavioral of ImageComposite is
begin
process(bg_img, fg_img, x, y)
    variable composite_data : STD_LOGIC_VECTOR(7 downto 0);
begin
    if x > "100" and x < "500" and y > "100" and y < "500" then
        composite_data := fg_img; -- 前景画像を使用
    else
        composite_data := bg_img; -- 背景画像を使用
    end if;
    result_img <= composite_data;
end process;

end Behavioral;

-- 画像データの型を定義
type image_array is array (0 to IMAGE_WIDTH-1, 0 to IMAGE_HEIGHT-1) of std_logic_vector(7 downto 0);

-- ヒストグラムを計算する関数
function compute_histogram(img: image_array) return array(0 to 255) of integer is
    variable histogram: array(0 to 255) of integer := (others => 0);
begin
    for x in 0 to IMAGE_WIDTH-1 loop
        for y in 0 to IMAGE_HEIGHT-1 loop
            histogram(to_integer(unsigned(img(x,y)))) := histogram(to_integer(unsigned(img(x,y)))) + 1;
        end loop;
    end loop;
    return histogram;
end function;

-- ヒストグラム平坦化を行う関数
function equalize_histogram(img: image_array) return image_array is
    variable hist: array(0 to 255) of integer := compute_histogram(img);
    variable cumulative: integer := 0;
    variable lut: array(0 to 255) of std_logic_vector(7 downto 0);
    variable output_img: image_array;
begin
    -- 累積ヒストグラムを計算
    for i in 0 to 255 loop
        cumulative := cumulative + hist(i);
        lut(i) := std_logic_vector(to_unsigned(cumulative * 255 / (IMAGE_WIDTH * IMAGE_HEIGHT), 8));
    end loop;

    -- LUTを使用して画像を変換
    for x in 0 to IMAGE_WIDTH-1 loop
        for y in 0 to IMAGE_HEIGHT-1 loop
            output_img(x,y) := lut(to_integer(unsigned(img(x,y))));
        end loop;
    end loop;

    return output_img;
end function;

-- 二値化を行うVHDLコード
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;

entity Binarization is
    Port ( Pixel_in : in std_logic_vector(7 downto 0); -- 入力画素値
           Threshold : in std_logic_vector(7 downto 0); -- 二値化の閾値
           Pixel_out : out std_logic_vector(7 downto 0) ); -- 二値化された画素値
end Binarization;

architecture Behavior of Binarization is
begin
    process(Pixel_in, Threshold)
    begin
        if Pixel_in > Threshold then
            Pixel_out <= "11111111"; -- 白に対応する値
        else
            Pixel_out <= "00000000"; -- 黒に対応する値
        end if;
    end process;
end Behavior;

library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;

entity MorphologyTransform is
    Port ( img_in  : in  std_logic_vector(7 downto 0);
           ctrl   : in  std_logic_vector(1 downto 0); -- 00: 膨張, 01: 収縮
           img_out : out std_logic_vector(7 downto 0));
end MorphologyTransform;

architecture Behavioral of MorphologyTransform is
begin
    process(img_in, ctrl)
    begin
        case ctrl is
            when "00" =>
                -- 膨張処理のロジック
                -- 省略
            when "01" =>
                -- 収縮処理のロジック
                -- 省略
            when others =>
                img_out <= img_in;  -- そのまま出力
        end case;
    end process;
end Behavioral;

library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;

entity TemplateMatching is
    Port ( img_pixel : in  STD_LOGIC_VECTOR(7 downto 0);
           tmpl_pixel : in  STD_LOGIC_VECTOR(7 downto 0);
           match_score : out STD_LOGIC_VECTOR(15 downto 0));
end TemplateMatching;

architecture Behavior of TemplateMatching is
begin
    process(img_pixel, tmpl_pixel)
    variable diff: STD_LOGIC_VECTOR(15 downto 0);
    begin
        diff := abs(conv_integer(img_pixel) - conv_integer(tmpl_pixel));
        match_score <= diff;
    end process;
end Behavior;

-- 二乗誤差を使用した場合
diff := (conv_integer(img_pixel) - conv_integer(tmpl_pixel))**2;

-- ライブラリのインポート
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;

-- 画像のパラメータ定義
constant IMAGE_WIDTH: integer := 640;
constant IMAGE_HEIGHT: integer := 480;

-- 画像データの型定義
type image_array is array (0 to IMAGE_HEIGHT-1, 0 to IMAGE_WIDTH-1) of std_logic_vector(7 downto 0);

-- 画像データの宣言
signal image1, image2: image_array;
signal keypoints1, keypoints2: image_array;

-- 特徴点検出のプロセス
process
begin
  for y in 0 to IMAGE_HEIGHT-1 loop
    for x in 0 to IMAGE_WIDTH-1 loop
      -- ここでは簡単のため、ピクセルの明るさがあるしきい値を超える場合を特徴点とする
      if image1(y, x) > "10000000" then
        keypoints1(y, x) <= "00000001";
      else
        keypoints1(y, x) <= "00000000";
      end if;
    end loop;
  end loop;
end process;

-- 特徴点と別の画像とのマッチングのプロセス
process
begin
  for y in 0 to IMAGE_HEIGHT-1 loop
    for x in 0 to IMAGE_WIDTH-1 loop
      -- ここでは簡単のため、同じ位置に特徴点がある場合をマッチングとする
      if keypoints1(y, x) = "00000001" and image2(y, x) > "10000000" then
        keypoints2(y, x) <= "00000001";
      else
        keypoints2(y, x) <= "00000000";
      end if;
    end loop;
  end loop;
end process;

-- 応用例：RANSACを使用したマッチングのプロセス
process
  -- RANSACのアルゴリズムを実装
  -- (ここでは詳細なコードは省略)
end process;

-- 動的な画像処理のサンプルコード
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;

entity DynamicImageProcessing is
    Port ( clk : in STD_LOGIC;
           reset : in STD_LOGIC;
           video_in : in STD_LOGIC_VECTOR(23 downto 0);
           video_out : out STD_LOGIC_VECTOR(23 downto 0));
end DynamicImageProcessing;

architecture Behavioral of DynamicImageProcessing is
begin
    process(clk, reset)
    variable gray_value : STD_LOGIC_VECTOR(7 downto 0);
    begin
        if reset = '1' then
            video_out <= (others => '0');
        elsif rising_edge(clk) then
            -- RGBデータからグレースケール値を算出
            gray_value := (video_in(23 downto 16) + video_in(15 downto 8) + video_in(7 downto 0)) / 3;
            video_out(23 downto 16) <= gray_value;
            video_out(15 downto 8) <= gray_value;
            video_out(7 downto 0) <= gray_value;
        end if;
    end process;
end Behavioral;

-- 赤色強調のサンプルコード
-- 以下省略…
process(clk, reset)
begin
    if reset = '1' then
        video_out <= (others => '0');
    elsif rising_edge(clk) then
        -- 赤色だけを強調
        video_out(23 downto 16) <= video_in(23 downto 16);
        video_out(15 downto 8) <= (others => '0');
        video_out(7 downto 0) <= (others => '0');
    end if;
end process;
-- 以下省略…

library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;

entity ImageCompression is
    Port ( img_in : in  std_logic_vector(7 downto 0);  -- 入力画像
           compressed_out : out  std_logic_vector(7 downto 0));  -- 圧縮された画像
end ImageCompression;

architecture Behavioral of ImageCompression is
begin
    process(img_in)
    begin
        -- ここで圧縮の処理を行う。簡単のため、単純な方法で画像を半分に圧縮
        compressed_out <= img_in(7 downto 4) & "0000";
    end process;
end Behavioral;

-- 動画データの型定義
type video_data is array (0 to FRAME_SIZE-1) of std_logic_vector(PIXEL_WIDTH-1 downto 0);

-- 静止画取得モジュール
entity capture_frame is
    Port ( clk     : in  std_logic;
           video_in: in  video_data;
           frame_num : in integer;
           capture  : out video_data);
end capture_frame;

architecture Behavioral of capture_frame is
begin
    process(clk)
    begin
        if rising_edge(clk) then
            if frame_num = TARGET_FRAME then
                capture <= video_in(frame_num);
            end if;
        end if;
    end process;
end Behavioral;

-- 複数フレーム取得用の拡張例
-- ここでは3フレームを順次取得する例を示す
type frames_data is array (0 to 2) of video_data;
...
-- 静止画取得モジュール
entity multi_capture_frame is
    ...
           captures  : out frames_data);
    ...

-- 3D画像データの読み込み
entity Read3DImage is
    Port ( 
           clk : in STD_LOGIC;
           data_in : in std_logic_vector(23 downto 0);
           data_out : out std_logic_vector(23 downto 0);
           );
end Read3DImage;

architecture Behavioral of Read3DImage is
begin
    process(clk)
    begin
        if rising_edge(clk) then
            -- 3D画像の読み込み処理
            data_out <= data_in;
        end if;
    end process;
end Behavioral;

-- 3D画像データにフィルタリングを適用
entity Filter3DImage is
    Port ( 
           clk : in STD_LOGIC;
           data_in : in std_logic_vector(23 downto 0);
           filtered_data_out : out std_logic_vector(23 downto 0);
           );
end Filter3DImage;

architecture Behavioral of Filter3DImage is
begin
    process(clk)
    begin
        if rising_edge(clk) then
            -- 簡易フィルタリング処理
            filtered_data_out <= (others => '0') when data_in = "000000000000000000000000" else data_in;
        end if;
    end process;
end Behavioral;

library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;

entity ImageSplitter is
    Port ( Pixel_in : in  STD_LOGIC_VECTOR(23 downto 0);
           Hsync, Vsync, Clock : in STD_LOGIC;
           Segment1, Segment2, Segment3, Segment4 : out STD_LOGIC_VECTOR(23 downto 0);
           Hsync_out, Vsync_out : out STD_LOGIC );
end ImageSplitter;

architecture Behavioral of ImageSplitter is
    signal h_center, v_center: STD_LOGIC_VECTOR(10 downto 0) := "00000000000"; -- 中心座標を取得
begin
    process(Clock, Hsync, Vsync)
    begin
        if rising_edge(Clock) then
            if Hsync = '1' then
                h_center <= h_center + 1;
            end if;

            if Vsync = '1' then
                v_center <= v_center + 1;
            end if;

            if h_center < "10000000000" and v_center < "10000000000" then
                Segment1 <= Pixel_in;
            elsif h_center >= "10000000000" and v_center < "10000000000" then
                Segment2 <= Pixel_in;
            elsif h_center < "10000000000" and v_center >= "10000000000" then
                Segment3 <= Pixel_in;
            else
                Segment4 <= Pixel_in;
            end if;
        end if;
    end process;
end Behavioral;

library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;

entity ObjectTracking is
    Port ( clk : in STD_LOGIC;
           reset : in STD_LOGIC;
           input_img : in std_logic_vector(7 downto 0);
           output_img : out std_logic_vector(7 downto 0));
end ObjectTracking;

architecture Behavioral of ObjectTracking is
    signal object_pos : std_logic_vector(7 downto 0);
    signal tracked_obj : std_logic_vector(7 downto 0);
begin
    process(clk, reset)
    begin
        if reset = '1' then
            -- 初期位置の設定など
        elsif rising_edge(clk) then
            -- オブジェクトの位置を追跡するロジックを記述
        end if;
    end process;

    output_img <= tracked_obj;
end Behavioral;

-- カスタマイズ例：輝度情報を用いたオブジェクト追跡
process(clk, reset)
begin
    if reset = '1' then
        -- 初期設定
    elsif rising_edge(clk) then
        -- 輝度情報を基にオブジェクトの位置を検出
    end if;
end process;

library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;

entity ImageRecognition is
    Port ( img_in : in  std_logic_vector(15 downto 0);
           clk : in  std_logic;
           recognized : out std_logic_vector(7 downto 0);
           position : out std_logic_vector(15 downto 0));
end ImageRecognition;

architecture Behavioral of ImageRecognition is
    -- 必要な信号や変数の宣言
begin
    process(clk)
    begin
        -- 画像認識処理のロジック
    end process;
end Behavioral;

library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;

entity ImageRecognition is
    Port ( clk : in STD_LOGIC;
           img_in : in STD_LOGIC_VECTOR(7 downto 0);
           recognized_out : out STD_LOGIC_VECTOR(7 downto 0));
end ImageRecognition;

architecture Behavioral of ImageRecognition is
begin
    process(clk)
    begin
        if rising_edge(clk) then
            -- 画像認識の処理を記述
            if img_in = "特定の形状や色の情報" then
                recognized_out <= "認識結果の情報";
            else
                recognized_out <= (others => '0');
            end if;
        end if;
    end process;
end Behavioral;

library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;

entity ImageEdit is
    Port ( clk : in STD_LOGIC;
           img_in : in STD_LOGIC_VECTOR(7 downto 0);
           brightness_control : in STD_LOGIC_VECTOR(3 downto 0);
           img_out : out STD_LOGIC_VECTOR(7 downto 0));
end ImageEdit;

architecture Behavioral of ImageEdit is
begin
    process(clk)
    begin
        if rising_edge(clk) then
            -- 画像の明るさを調整する処理を記述
            img_out <= img_in + brightness_control;
        end if;
    end process;
end Behavioral;

library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;

entity VideoProcessing is
    Port ( clk : in STD_LOGIC;
           frame_in : in STD_LOGIC_VECTOR(7 downto 0);
           blur_amount : in STD_LOGIC_VECTOR(3 downto 0);
           frame_out : out STD_LOGIC_VECTOR(7 downto 0));
end VideoProcessing;

architecture Behavioral of VideoProcessing is
begin
    process(clk)
    begin
        if rising_edge(clk) then
            -- ブラー処理を記述
            frame_out <= apply_blur(frame_in, blur_amount);
        end if;
    end process;
end Behavioral;

-- パイプラインの各ステージの処理を実装
function stage1(input_data: in std_logic_vector) return std_logic_vector is
begin
    -- ステージ1の処理内容
    -- (詳細な処理を実装)
    return processed_data;
end function stage1;

function stage2(input_data: in std_logic_vector) return std_logic_vector is
begin
    -- ステージ2の処理内容
    -- (詳細な処理を実装)
    return processed_data;
end function stage2;

function stage3(input_data: in std_logic_vector) return std_logic_vector is
begin
    -- ステージ3の処理内容
    -- (詳細な処理を実装)
    return processed_data;
end function stage3;

-- パイプライン処理の実装
process(clk)
variable temp1, temp2: std_logic_vector;
begin
    if rising_edge(clk) then
        temp1 := stage1(input_data);
        temp2 := stage2(temp1);
        output_data <= stage3(temp2);
    end if;
end process;

-- 明るさ調整関数
function brightness_adjust(input_pixel: in std_logic_vector; adjust_value: in integer) return std_logic_vector is
begin
    -- 明るさ調整の処理内容
    -- (詳細な処理を実装)
    return adjusted_pixel;
end function brightness_adjust;

-- テストベンチ
process
variable test_pixel: std_logic_vector := "00001111"; -- テスト用のピクセル値
variable result_pixel: std_logic_vector;
begin
    result_pixel := brightness_adjust(test_pixel, 2); -- 明るさを2増加させる
    assert (result_pixel = "00100001") report "明るさ調整の結果が正しくありません" severity ERROR;
end process;

-- モジュールの定義
entity ImageModule is
   port ( input_image : in image_type; 
          output_image : out image_type );
end entity ImageModule;

architecture Behavior of ImageModule is
begin
   -- ここで画像処理を定義
end architecture Behavior;

-- ヒストグラム平坦化の実装
entity HistogramEqualization is
   port ( input_image : in image_type; 
          output_image : out image_type );
end entity HistogramEqualization;

architecture Behavior of HistogramEqualization is
begin
   -- ここでヒストグラム平坦化の処理を定義
end architecture Behavior;