On the other hand , image quality measures haven ’ t been improved correspondingly . the most popular image quality assessment ( iqa ) is still traditional methods whose representative is psnr ( peak signal - to - noise ratio ) 在對圖像質(zhì)量要求愈來愈高的今天,傳統(tǒng)的圖像質(zhì)量評價算法已無法提供令人滿意的結(jié)果,成為圖像處理技術(shù)的薄弱環(huán)節(jié)。
In the final , we evaluated and analyzed the quality of a series of compressed images with the fuzzy image and psnr ( peak signal - to - noise ratio ) measurement . we have also made some other experiments such as add noise to the images and so on 然后用峰值信噪比和本文提出的模糊圖像度量分別對一系列壓縮后的圖像質(zhì)量進(jìn)行評價,并且分析了它們的評價結(jié)果,最后還進(jìn)行了對圖像添加各種噪聲等實驗。
Simulation results show that both objective gains measured in psnr ( peak signal - to - noise ratio ) and visual improvements of reconstructed video can be achieved by utilizing introduced methods . chapter 5 gives the implementation of jvt - based nwarq technique 實驗結(jié)果表明,各改進(jìn)算法能不同程度地提高和改善重建圖像的峰值信噪比( psnr )和主觀質(zhì)量;第五章研究、實現(xiàn)并測試了基于jvt視頻編碼標(biāo)準(zhǔn)的無等待arq技術(shù)。
In order to assess the performance of the proposed methods , we propose three types of image measures to quantify the performance compared to some other methods . the first type evaluates the fidelity of the reconstructed image by computing the peak signal - to - noise ratio and euclidean distance in cielab color space between the original and reconstructed image in smooth and edge regions respectively . the second type accounts for a major artifact ? zipper effect 為了評估算法質(zhì)量,本文采用了三類評估手段:一是分別計算原始圖像與重構(gòu)圖像在平滑區(qū)域與邊界區(qū)域的峰值信噪比與cielab顏色空間的歐氏距離來分析重構(gòu)圖像的保真度;二是利用數(shù)學(xué)手段對重構(gòu)圖像的一類主要失真現(xiàn)象? ? zipper效應(yīng)進(jìn)行定量評估;三是對硬件實現(xiàn)的成本與實際可行性進(jìn)行了分析。
According to this , we propose a new way to renew the traditional method of subjective image quality evaluation , different to only use mse ( mean square error ) and psnr ( peak signal - to - noise ratio ) to evaluate merely on radiation distortion , and complemented quantitative description on compressed image distortion o it is significant to choose the format of video transferation and measuring precision calculation of tracking and measuring systems based on images 中國科學(xué)院長春光機(jī)與物理研究所博士學(xué)位論文據(jù)此提出了不同于傳統(tǒng)的僅用均方誤差( mse )和峰值信噪比( psnr )來評價圖像灰度輻射畸變的新思路,補(bǔ)充了對壓縮圖像幾何畸變的定量描述。這對于基于圖像的測量跟蹤系統(tǒng)中數(shù)字圖像傳輸方式的選擇,以及評價壓縮解壓算法對測量精度的影響有重要意義。
Peak Signal-to-Noise Ratio, often abbreviated PSNR, is an engineering term for the ratio between the maximum possible power of a signal and the power of corrupting noise that affects the fidelity of its representation. Because many signals have a very wide dynamic range, PSNR is usually expressed in terms of the logarithmic decibel scale.