25bd5d8adb
subrepo: subdir: "deps/juce" merged: "b13f9084e" upstream: origin: "https://github.com/essej/JUCE.git" branch: "sono6good" commit: "b13f9084e" git-subrepo: version: "0.4.3" origin: "https://github.com/ingydotnet/git-subrepo.git" commit: "2f68596"
113 lines
4.0 KiB
C++
113 lines
4.0 KiB
C++
/*
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==============================================================================
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This file is part of the JUCE library.
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Copyright (c) 2020 - Raw Material Software Limited
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JUCE is an open source library subject to commercial or open-source
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licensing.
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By using JUCE, you agree to the terms of both the JUCE 6 End-User License
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Agreement and JUCE Privacy Policy (both effective as of the 16th June 2020).
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End User License Agreement: www.juce.com/juce-6-licence
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Privacy Policy: www.juce.com/juce-privacy-policy
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Or: You may also use this code under the terms of the GPL v3 (see
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www.gnu.org/licenses).
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JUCE IS PROVIDED "AS IS" WITHOUT ANY WARRANTY, AND ALL WARRANTIES, WHETHER
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EXPRESSED OR IMPLIED, INCLUDING MERCHANTABILITY AND FITNESS FOR PURPOSE, ARE
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DISCLAIMED.
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==============================================================================
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*/
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namespace juce
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{
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//==============================================================================
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/**
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Represents a filter kernel to use in convoluting an image.
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@see Image::applyConvolution
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@tags{Graphics}
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*/
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class JUCE_API ImageConvolutionKernel
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{
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public:
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//==============================================================================
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/** Creates an empty convolution kernel.
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@param size the length of each dimension of the kernel, so e.g. if the size
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is 5, it will create a 5x5 kernel
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*/
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ImageConvolutionKernel (int size);
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/** Destructor. */
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~ImageConvolutionKernel();
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//==============================================================================
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/** Resets all values in the kernel to zero. */
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void clear();
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/** Returns one of the kernel values. */
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float getKernelValue (int x, int y) const noexcept;
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/** Sets the value of a specific cell in the kernel.
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The x and y parameters must be in the range 0 < x < getKernelSize().
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@see setOverallSum
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*/
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void setKernelValue (int x, int y, float value) noexcept;
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/** Rescales all values in the kernel to make the total add up to a fixed value.
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This will multiply all values in the kernel by (desiredTotalSum / currentTotalSum).
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*/
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void setOverallSum (float desiredTotalSum);
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/** Multiplies all values in the kernel by a value. */
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void rescaleAllValues (float multiplier);
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/** Initialises the kernel for a gaussian blur.
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@param blurRadius this may be larger or smaller than the kernel's actual
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size but this will obviously be wasteful or clip at the
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edges. Ideally the kernel should be just larger than
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(blurRadius * 2).
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*/
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void createGaussianBlur (float blurRadius);
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//==============================================================================
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/** Returns the size of the kernel.
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E.g. if it's a 3x3 kernel, this returns 3.
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*/
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int getKernelSize() const { return size; }
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//==============================================================================
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/** Applies the kernel to an image.
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@param destImage the image that will receive the resultant convoluted pixels.
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@param sourceImage the source image to read from - this can be the same image as
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the destination, but if different, it must be exactly the same
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size and format.
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@param destinationArea the region of the image to apply the filter to
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*/
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void applyToImage (Image& destImage,
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const Image& sourceImage,
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const Rectangle<int>& destinationArea) const;
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private:
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//==============================================================================
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HeapBlock<float> values;
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const int size;
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JUCE_DECLARE_NON_COPYABLE_WITH_LEAK_DETECTOR (ImageConvolutionKernel)
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};
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} // namespace juce
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