开源视频质量评价工具： IQA

Image Quality Assessment (IQA)是一个快速，精确，可靠的测量视频/图像质量的基于C的库。

它实现了很多流行的算法比如 MS-SSIM, SIMM, MSE 和 PSNR。

其提供的方法在iqa.h中，如下所示：

/* * Copyright (c) 2011, Tom Distler (http://tdistler.com) * All rights reserved. * * The BSD License * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * - Redistributions of source code must retain the above copyright notice,  *   this list of conditions and the following disclaimer. * * - Redistributions in binary form must reproduce the above copyright notice, *   this list of conditions and the following disclaimer in the documentation *   and/or other materials provided with the distribution. * * - Neither the name of the tdistler.com nor the names of its contributors may *   be used to endorse or promote products derived from this software without *   specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE  * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR  * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE * POSSIBILITY OF SUCH DAMAGE. */#ifndef _IQA_H_#define _IQA_H_#include "iqa_os.h"/** * Allows fine-grain control of the SSIM algorithm. */struct iqa_ssim_args {    float alpha;    /**< luminance exponent */    float beta;     /**< contrast exponent */    float gamma;    /**< structure exponent */    int L;          /**< dynamic range (2^8 - 1)*/    float K1;       /**< stabilization constant 1 */    float K2;       /**< stabilization constant 2 */    int f;          /**< scale factor. 0=default scaling, 1=no scaling */};/** * Allows fine-grain control of the MS-SSIM algorithm. */struct iqa_ms_ssim_args {    int wang;             /**< 1=original algorithm by Wang, et al. 0=MS-SSIM* by Rouse/Hemami (default). */    int gaussian;         /**< 1=11x11 Gaussian window (default). 0=8x8 linear window. */    int scales;           /**< Number of scaled images to use. Default is 5. */    const float *alphas;  /**< Pointer to array of alpha values for each scale. Required if 'scales' isn't 5. */    const float *betas;   /**< Pointer to array of beta values for each scale. Required if 'scales' isn't 5. */    const float *gammas;  /**< Pointer to array of gamma values for each scale. Required if 'scales' isn't 5. */};/** * Calculates the Mean Squared Error between 2 equal-sized 8-bit images. * @note The images must have the same width, height, and stride. * @param ref Original reference image * @param cmp Distorted image * @param w Width of the images * @param h Height of the images * @param stride The length (in bytes) of each horizontal line in the image. *               This may be different from the image width. * @return The MSE. */float iqa_mse(const unsigned char *ref, const unsigned char *cmp, int w, int h, int stride);/** * Calculates the Peak Signal-to-Noise-Ratio between 2 equal-sized 8-bit * images. * @note The images must have the same width, height, and stride. * @param ref Original reference image * @param cmp Distorted image * @param w Width of the images * @param h Height of the images * @param stride The length (in bytes) of each horizontal line in the image. *               This may be different from the image width. * @return The PSNR. */float iqa_psnr(const unsigned char *ref, const unsigned char *cmp, int w, int h, int stride);/** * Calculates the Structural SIMilarity between 2 equal-sized 8-bit images. * * See https://ece.uwaterloo.ca/~z70wang/publications/ssim.html * @note The images must have the same width, height, and stride. * @param ref Original reference image * @param cmp Distorted image * @param w Width of the images * @param h Height of the images * @param stride The length (in bytes) of each horizontal line in the image. *               This may be different from the image width. * @param gaussian 0 = 8x8 square window, 1 = 11x11 circular-symmetric Gaussian * weighting. * @param args Optional SSIM arguments for fine control of the algorithm. 0 for * defaults. Defaults are a=b=g=1.0, L=255, K1=0.01, K2=0.03 * @return The mean SSIM over the entire image (MSSIM), or INFINITY if error. */float iqa_ssim(const unsigned char *ref, const unsigned char *cmp, int w, int h, int stride,     int gaussian, const struct iqa_ssim_args *args);/** * Calculates the Multi-Scale Structural SIMilarity between 2 equal-sized 8-bit * images. The default algorithm is MS-SSIM* proposed by Rouse/Hemami 2008. * * See https://ece.uwaterloo.ca/~z70wang/publications/msssim.pdf and * http://foulard.ece.cornell.edu/publications/dmr_hvei2008_paper.pdf * * @note 1. The images must have the same width, height, and stride. * @note 2. The minimum image width or height is 2^(scales-1) * filter, where 'filter' is 11 * if a Gaussian window is being used, or 9 otherwise. * @param ref Original reference image * @param cmp Distorted image * @param w Width of the images. * @param h Height of the images. * @param stride The length (in bytes) of each horizontal line in the image. *               This may be different from the image width. * @param args Optional MS-SSIM arguments for fine control of the algorithm. 0 * for defaults. Defaults are wang=0, scales=5, gaussian=1. * @return The mean MS-SSIM over the entire image, or INFINITY if error. */float iqa_ms_ssim(const unsigned char *ref, const unsigned char *cmp, int w, int h, int stride,     const struct iqa_ms_ssim_args *args);#endif /*_IQA_H_*/

源代码下载：http://download.csdn.net/detail/leixiaohua1020/6376741

SourceForge项目页面：http://sourceforge.net/projects/iqa/

项目官方页面：http://tdistler.com/iqa/