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@ -3,13 +3,17 @@ |
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using System; |
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using System.Runtime.CompilerServices; |
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#if SUPPORTS_RUNTIME_INTRINSICS
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using System.Runtime.Intrinsics; |
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using System.Runtime.Intrinsics.X86; |
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#endif
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namespace SixLabors.ImageSharp.Formats.Webp.Lossy |
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{ |
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/// <summary>
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/// Quantization methods.
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/// </summary>
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internal static class QuantEnc |
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internal static unsafe class QuantEnc |
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{ |
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private static readonly byte[] Zigzag = { 0, 1, 4, 8, 5, 2, 3, 6, 9, 12, 13, 10, 7, 11, 14, 15 }; |
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@ -17,6 +21,18 @@ namespace SixLabors.ImageSharp.Formats.Webp.Lossy |
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private const int MaxLevel = 2047; |
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#if SUPPORTS_RUNTIME_INTRINSICS
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private static readonly Vector128<short> MaxCoeff2047 = Vector128.Create((short)MaxLevel); |
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private static readonly Vector128<byte> CstLo = Vector128.Create(0, 1, 2, 3, 8, 9, 254, 255, 10, 11, 4, 5, 6, 7, 12, 13); |
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private static readonly Vector128<byte> Cst7 = Vector128.Create(254, 255, 254, 255, 254, 255, 254, 255, 14, 15, 254, 255, 254, 255, 254, 255); |
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private static readonly Vector128<byte> CstHi = Vector128.Create(2, 3, 8, 9, 10, 11, 4, 5, 254, 255, 6, 7, 12, 13, 14, 15); |
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private static readonly Vector128<byte> Cst8 = Vector128.Create(254, 255, 254, 255, 254, 255, 0, 1, 254, 255, 254, 255, 254, 255, 254, 255); |
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#endif
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// Diffusion weights. We under-correct a bit (15/16th of the error is actually
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// diffused) to avoid 'rainbow' chessboard pattern of blocks at q~=0.
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private const int C1 = 7; // fraction of error sent to the 4x4 block below
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@ -486,51 +502,147 @@ namespace SixLabors.ImageSharp.Formats.Webp.Lossy |
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[MethodImpl(InliningOptions.ShortMethod)] |
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public static int Quantize2Blocks(Span<short> input, Span<short> output, Vp8Matrix mtx) |
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{ |
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int nz = QuantizeBlock(input, output, mtx) << 0; |
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nz |= QuantizeBlock(input.Slice(1 * 16), output.Slice(1 * 16), mtx) << 1; |
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int nz = QuantizeBlock(input.Slice(0, 16), output.Slice(0, 16), mtx) << 0; |
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nz |= QuantizeBlock(input.Slice(1 * 16, 16), output.Slice(1 * 16, 16), mtx) << 1; |
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return nz; |
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} |
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public static int QuantizeBlock(Span<short> input, Span<short> output, Vp8Matrix mtx) |
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{ |
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int last = -1; |
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int n; |
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for (n = 0; n < 16; ++n) |
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#if SUPPORTS_RUNTIME_INTRINSICS
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if (Sse41.IsSupported) |
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{ |
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int j = Zigzag[n]; |
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bool sign = input[j] < 0; |
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uint coeff = (uint)((sign ? -input[j] : input[j]) + mtx.Sharpen[j]); |
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if (coeff > mtx.ZThresh[j]) |
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#pragma warning disable SA1503 // Braces should not be omitted
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fixed (ushort* mtxIqPtr = mtx.IQ) |
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fixed (ushort* mtxQPtr = mtx.Q) |
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fixed (uint* biasQPtr = mtx.Bias) |
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fixed (short* inputPtr = input) |
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fixed (short* outputPtr = output) |
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{ |
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uint q = mtx.Q[j]; |
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uint iQ = mtx.IQ[j]; |
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uint b = mtx.Bias[j]; |
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int level = QuantDiv(coeff, iQ, b); |
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if (level > MaxLevel) |
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// Load all inputs.
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Vector128<short> input0 = Sse2.LoadVector128(inputPtr); |
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Vector128<short> input8 = Sse2.LoadVector128(inputPtr + 8); |
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Vector128<ushort> iq0 = Sse2.LoadVector128(mtxIqPtr); |
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Vector128<ushort> iq8 = Sse2.LoadVector128(mtxIqPtr + 8); |
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Vector128<ushort> q0 = Sse2.LoadVector128(mtxQPtr); |
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Vector128<ushort> q8 = Sse2.LoadVector128(mtxQPtr + 8); |
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// coeff = abs(in)
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Vector128<ushort> coeff0 = Ssse3.Abs(input0); |
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Vector128<ushort> coeff8 = Ssse3.Abs(input8); |
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// out = (coeff * iQ + B) >> QFIX
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// doing calculations with 32b precision (QFIX=17)
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// out = (coeff * iQ)
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Vector128<ushort> coeffiQ0H = Sse2.MultiplyHigh(coeff0, iq0); |
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Vector128<ushort> coeffiQ0L = Sse2.MultiplyLow(coeff0, iq0); |
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Vector128<ushort> coeffiQ8H = Sse2.MultiplyHigh(coeff8, iq8); |
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Vector128<ushort> coeffiQ8L = Sse2.MultiplyLow(coeff8, iq8); |
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Vector128<ushort> out00 = Sse2.UnpackLow(coeffiQ0L, coeffiQ0H); |
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Vector128<ushort> out04 = Sse2.UnpackHigh(coeffiQ0L, coeffiQ0H); |
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Vector128<ushort> out08 = Sse2.UnpackLow(coeffiQ8L, coeffiQ8H); |
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Vector128<ushort> out12 = Sse2.UnpackHigh(coeffiQ8L, coeffiQ8H); |
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// out = (coeff * iQ + B)
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Vector128<uint> bias00 = Sse2.LoadVector128(biasQPtr); |
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Vector128<uint> bias04 = Sse2.LoadVector128(biasQPtr + 4); |
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Vector128<uint> bias08 = Sse2.LoadVector128(biasQPtr + 8); |
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Vector128<uint> bias12 = Sse2.LoadVector128(biasQPtr + 12); |
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out00 = Sse2.Add(out00.AsInt32(), bias00.AsInt32()).AsUInt16(); |
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out04 = Sse2.Add(out04.AsInt32(), bias04.AsInt32()).AsUInt16(); |
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out08 = Sse2.Add(out08.AsInt32(), bias08.AsInt32()).AsUInt16(); |
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out12 = Sse2.Add(out12.AsInt32(), bias12.AsInt32()).AsUInt16(); |
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// out = QUANTDIV(coeff, iQ, B, QFIX)
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out00 = Sse2.ShiftRightArithmetic(out00.AsInt32(), WebpConstants.QFix).AsUInt16(); |
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out04 = Sse2.ShiftRightArithmetic(out04.AsInt32(), WebpConstants.QFix).AsUInt16(); |
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out08 = Sse2.ShiftRightArithmetic(out08.AsInt32(), WebpConstants.QFix).AsUInt16(); |
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out12 = Sse2.ShiftRightArithmetic(out12.AsInt32(), WebpConstants.QFix).AsUInt16(); |
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// pack result as 16b
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Vector128<short> out0 = Sse2.PackSignedSaturate(out00.AsInt32(), out04.AsInt32()); |
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Vector128<short> out8 = Sse2.PackSignedSaturate(out08.AsInt32(), out12.AsInt32()); |
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// if (coeff > 2047) coeff = 2047
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out0 = Sse2.Min(out0, MaxCoeff2047); |
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out8 = Sse2.Min(out8, MaxCoeff2047); |
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// put sign back
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out0 = Ssse3.Sign(out0, input0); |
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out8 = Ssse3.Sign(out8, input8); |
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// in = out * Q
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input0 = Sse2.MultiplyLow(out0, q0.AsInt16()); |
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input8 = Sse2.MultiplyLow(out8, q8.AsInt16()); |
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// in = out * Q
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Sse2.Store(inputPtr, input0); |
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Sse2.Store(inputPtr + 8, input8); |
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// zigzag the output before storing it. The re-ordering is:
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// 0 1 2 3 4 5 6 7 | 8 9 10 11 12 13 14 15
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// -> 0 1 4[8]5 2 3 6 | 9 12 13 10 [7]11 14 15
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// There's only two misplaced entries ([8] and [7]) that are crossing the
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// reg's boundaries.
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// We use pshufb instead of pshuflo/pshufhi.
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Vector128<byte> tmpLo = Ssse3.Shuffle(out0.AsByte(), CstLo); |
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Vector128<byte> tmp7 = Ssse3.Shuffle(out0.AsByte(), Cst7); // extract #7
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Vector128<byte> tmpHi = Ssse3.Shuffle(out8.AsByte(), CstHi); |
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Vector128<byte> tmp8 = Ssse3.Shuffle(out8.AsByte(), Cst8); // extract #8
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Vector128<byte> outZ0 = Sse2.Or(tmpLo, tmp8); |
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Vector128<byte> outZ8 = Sse2.Or(tmpHi, tmp7); |
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Sse2.Store(outputPtr, outZ0.AsInt16()); |
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Sse2.Store(outputPtr + 8, outZ8.AsInt16()); |
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Vector128<sbyte> packedOutput = Sse2.PackSignedSaturate(outZ0.AsInt16(), outZ8.AsInt16()); |
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// Detect if all 'out' values are zeroes or not.
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Vector128<sbyte> cmpeq = Sse2.CompareEqual(packedOutput, Vector128<sbyte>.Zero); |
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return Sse2.MoveMask(cmpeq) != 0xffff ? 1 : 0; |
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} |
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#pragma warning restore SA1503 // Braces should not be omitted
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} |
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else |
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#endif
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{ |
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int last = -1; |
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int n; |
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for (n = 0; n < 16; ++n) |
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{ |
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int j = Zigzag[n]; |
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bool sign = input[j] < 0; |
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uint coeff = (uint)((sign ? -input[j] : input[j]) + mtx.Sharpen[j]); |
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if (coeff > mtx.ZThresh[j]) |
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{ |
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level = MaxLevel; |
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} |
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uint q = mtx.Q[j]; |
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uint iQ = mtx.IQ[j]; |
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uint b = mtx.Bias[j]; |
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int level = QuantDiv(coeff, iQ, b); |
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if (level > MaxLevel) |
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{ |
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level = MaxLevel; |
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} |
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if (sign) |
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{ |
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level = -level; |
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} |
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if (sign) |
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{ |
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level = -level; |
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} |
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input[j] = (short)(level * (int)q); |
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output[n] = (short)level; |
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if (level != 0) |
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input[j] = (short)(level * (int)q); |
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output[n] = (short)level; |
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if (level != 0) |
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{ |
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last = n; |
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} |
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} |
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else |
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{ |
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last = n; |
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output[n] = 0; |
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input[j] = 0; |
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} |
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} |
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else |
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{ |
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output[n] = 0; |
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input[j] = 0; |
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} |
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} |
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return last >= 0 ? 1 : 0; |
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return last >= 0 ? 1 : 0; |
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} |
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} |
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// Quantize as usual, but also compute and return the quantization error.
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