Modern Image Quality Assessment
Morgan & Claypool Publishers, 2006 - Technology & Engineering - 146 pages
The topic of image quality assessment has been around for more than four decades. The last five years have seen a sudden acceleration in progress and interest in the area, which has corresponded with a rapid rise in interest in digital imaging in general, driven by technological advances and by the ubiquity of digital images and videos on the Internet.Modern Image Quality Assessment has three expressed goals:" Introduce the fundamentals of image quality assessment, and to explain the relevant engineering problems" Provide a broad treatment of the current state-of-the-art in image quality assessment by describing leading algorithms that address engineering problems under different assumptions" Provide new directions for future research, by introducing recent models and paradigms that significantly differ from those used in the pastThe book is intended for a wide readership. It will be accessible to university students curious about the state-of-the-art of image quality assessment, expert industrial R&D engineers seeking to implement image/video quality assessment systems for specific applications, and academic theorists interested in developing new algorithms for image quality assessment or using existing algorithms to design or optimize other image processing applications.
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application-speciﬁc applications block-based blurring complex wavelet transform computed contrast CW-SSIM Index deﬁned described difﬁcult distorted image distortion channel distortion measure distortion types domain method efﬁcient error signal evaluation factor feature extraction ﬁdelity ﬁeld of image FIGURE ﬁlter ﬁrst frequency domain function ganglion cells histogram human visual image compression image distortions image quality assessment image quality measures image space image-processing implementation joint histogram JPEG JPEG compressed image lp norms luminance marginal distributions masking mutual information natural image statistics normalization original image overall parameters pixels problem processing psychophysical quality assessment algorithms quality assessment systems quality-aware image quantization receiver side reference and distorted reference image RR features RR quality assessment samples scale shown in Fig side information signiﬁcantly spatial domain speciﬁc structural similarity subband test image types of distortions vector VIF Index visual perception wavelet coefﬁcients wavelet domain wavelet transform white Gaussian noise
Page 136 - RW Buccigrossi and EP Simoncelli, "Image compression via joint statistical characterization in the wavelet domain," IEEE Transactions on Image Processing, vol.
Page 143 - M. Miyahara, K. Kotani, and VR Algazi "Objective Picture Quality Scale (PQS) for Image Coding".
Page 142 - Texture recognition using a non-parametric multi-scale statistical model," in Proceedings IEEE Conf. on Computer Vision and Pattern Recognition, 1998. 3.