LibImage: Implement image resize using nearest or bilinear filters
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672ce40618
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@ -76,4 +76,64 @@ namespace LibImage
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return BAN::Error::from_errno(ENOTSUP);
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return BAN::Error::from_errno(ENOTSUP);
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}
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}
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BAN::ErrorOr<BAN::UniqPtr<Image>> Image::resize(uint64_t new_width, uint64_t new_height, ResizeAlgorithm algorithm)
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{
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if (!validate_size(new_width, new_height))
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return BAN::Error::from_errno(EOVERFLOW);
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const double ratio_x = (double)width() / new_width;
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const double ratio_y = (double)height() / new_height;
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switch (algorithm)
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{
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case ResizeAlgorithm::Nearest:
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{
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BAN::Vector<Color> nearest_bitmap;
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TRY(nearest_bitmap.resize(new_width * new_height));
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for (uint64_t y = 0; y < new_height; y++)
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{
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for (uint64_t x = 0; x < new_width; x++)
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{
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const uint64_t nearest_x = BAN::Math::clamp<uint64_t>(x * ratio_x, 0, width() - 1);
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const uint64_t nearest_y = BAN::Math::clamp<uint64_t>(y * ratio_y, 0, height() - 1);
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nearest_bitmap[y * new_width + x] = get_color(nearest_x, nearest_y);
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}
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}
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return TRY(BAN::UniqPtr<Image>::create(new_width, new_height, BAN::move(nearest_bitmap)));
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}
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case ResizeAlgorithm::Bilinear:
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{
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BAN::Vector<Color> bilinear_bitmap;
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TRY(bilinear_bitmap.resize(new_width * new_height));
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for (uint64_t y = 0; y < new_height; y++)
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{
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for (uint64_t x = 0; x < new_width; x++)
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{
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const double src_x_float = x * ratio_x;
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const double src_y_float = y * ratio_y;
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const double weight_x = src_x_float - floor(src_x_float);
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const double weight_y = src_y_float - floor(src_y_float);
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const uint64_t src_l = BAN::Math::clamp<uint64_t>(src_x_float, 0, width() - 1);
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const uint64_t src_t = BAN::Math::clamp<uint64_t>(src_y_float, 0, height() - 1);
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const uint64_t src_r = BAN::Math::clamp<uint64_t>(src_l + 1, 0, width() - 1);
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const uint64_t src_b = BAN::Math::clamp<uint64_t>(src_t + 1, 0, height() - 1);
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const Color avg_t = Color::average(get_color(src_l, src_t), get_color(src_r, src_t), weight_x);
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const Color avg_b = Color::average(get_color(src_l, src_b), get_color(src_r, src_b), weight_x);
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bilinear_bitmap[y * new_width + x] = Color::average(avg_t, avg_b, weight_y);
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}
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}
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return TRY(BAN::UniqPtr<Image>::create(new_width, new_height, BAN::move(bilinear_bitmap)));
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}
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}
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return BAN::Error::from_errno(EINVAL);
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}
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}
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}
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@ -77,9 +77,9 @@ namespace LibImage
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image_data = image_data.slice(1);
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image_data = image_data.slice(1);
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auto height = opt_height.value();
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auto height = opt_height.value();
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if (BAN::Math::will_multiplication_overflow<uint64_t>(width, height) || BAN::Math::will_multiplication_overflow<uint64_t>(width * height, 3))
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if (!Image::validate_size(width, height))
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{
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{
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fprintf(stddbg, "invalid Netbpm image (size is over 64 bits overflows)\n");
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fprintf(stddbg, "invalid Netbpm image size\n");
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return BAN::Error::from_errno(EINVAL);
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return BAN::Error::from_errno(EINVAL);
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}
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}
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@ -1,5 +1,6 @@
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#pragma once
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#pragma once
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#include <BAN/Limits.h>
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#include <BAN/StringView.h>
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#include <BAN/StringView.h>
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#include <BAN/UniqPtr.h>
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#include <BAN/UniqPtr.h>
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#include <BAN/Vector.h>
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#include <BAN/Vector.h>
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@ -16,24 +17,61 @@ namespace LibImage
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uint8_t g;
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uint8_t g;
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uint8_t b;
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uint8_t b;
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uint8_t a;
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uint8_t a;
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// Calculate weighted average of colors
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// weight of 0.0 returns a and weight of 1.0 returns b
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static Color average(Color a, Color b, double weight)
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{
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const double b_mult = BAN::Math::clamp(weight, 0.0, 1.0);
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const double a_mult = 1.0 - b_mult;
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return Color {
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.r = static_cast<uint8_t>(a.r * a_mult + b.r * b_mult),
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.g = static_cast<uint8_t>(a.g * a_mult + b.g * b_mult),
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.b = static_cast<uint8_t>(a.b * a_mult + b.b * b_mult),
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.a = static_cast<uint8_t>(a.a * a_mult + b.a * b_mult),
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};
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}
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};
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enum class ResizeAlgorithm
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{
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Nearest,
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Bilinear,
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};
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};
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public:
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public:
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static BAN::ErrorOr<BAN::UniqPtr<Image>> load_from_file(BAN::StringView path);
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static BAN::ErrorOr<BAN::UniqPtr<Image>> load_from_file(BAN::StringView path);
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BAN::ErrorOr<BAN::UniqPtr<Image>> resize(uint64_t new_width, uint64_t new_height, ResizeAlgorithm = ResizeAlgorithm::Bilinear);
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Color get_color(uint64_t x, uint64_t y) const { return m_bitmap[y * width() + x]; }
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Color get_color(uint64_t x, uint64_t y) const { return m_bitmap[y * width() + x]; }
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const BAN::Vector<Color> bitmap() const { return m_bitmap; }
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const BAN::Vector<Color> bitmap() const { return m_bitmap; }
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uint64_t width() const { return m_width; }
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uint64_t width() const { return m_width; }
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uint64_t height() const { return m_height; }
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uint64_t height() const { return m_height; }
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static constexpr bool validate_size(uint64_t width, uint64_t height)
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{
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// width and height must fit in int64_t and width * height * sizeof(Color) has to not overflow
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if (width > static_cast<uint64_t>(BAN::numeric_limits<int64_t>::max()))
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return false;
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if (height > static_cast<uint64_t>(BAN::numeric_limits<int64_t>::max()))
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return false;
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if (BAN::Math::will_multiplication_overflow(width, height))
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return false;
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if (BAN::Math::will_multiplication_overflow(width * height, sizeof(Color)))
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return false;
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return true;
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}
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private:
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private:
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Image(uint64_t width, uint64_t height, BAN::Vector<Color>&& bitmap)
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Image(uint64_t width, uint64_t height, BAN::Vector<Color>&& bitmap)
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: m_width(width)
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: m_width(width)
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, m_height(height)
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, m_height(height)
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, m_bitmap(BAN::move(bitmap))
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, m_bitmap(BAN::move(bitmap))
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{
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{
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ASSERT(m_bitmap.size() >= width * height);
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ASSERT(validate_size(m_width, m_height));
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ASSERT(m_bitmap.size() >= m_width * m_height);
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}
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}
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private:
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private:
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