The development of reliable objective image quality assessment (IQA) metrics coordinate to the human‟s perception is crucial in numerous image processing applications. State-of-art perceptual IQA methods focus on two techniques using the sensitivities of human visual system (HVS). One is perceptual pooling strategy in spatial domain while the other is multi-channel model in spectral domain. In ...

In order to accurately evaluate the video quality and make it consistent with the subjective evaluation result, a saliency region and motion characteristics combined video quality assessment is proposed in this paper. This method is based on traditional SSIM and improves its assessment performance. According to the relationship between human visual attention and video’s region of saliency, fram...

This paper presents a simple and effective missing texture reconstruction method based on a perceptually optimized algorithm. The proposed method utilizes the structural similarity (SSIM) index as a new visual quality measure for reconstructing missing areas. Furthermore, in order to adaptively reconstruct target images containing several kinds of textures, the following two novel approaches ar...

Rate-distortion optimization is the key technique in video coding standards to efficiently determine a set of coding parameters. In the R-D optimization for H.264 I-frame encoder, the distortion (D) is measured as the sum of the squared differences (SSD) between the reconstructed and the original blocks, which is same as MSE. Recently, a new image measurement called Structural Similarity (SSIM)...

This paper presents the comparisons of the latest subjective video sequence quality assessment methods versus objective quality assessment using H.261, H.263+ and H.264 advanced video coding (AVC). A Simultaneous Double Stimulus for Continuous Evaluation (SDSCE) method was used for subjective quality assessment. The Peak Signal to Noise Ratio (PSNR) method and the-state-of-the art Structural SI...

In computer vision field, Image resolution enhancement has become the most current research area. Improving image resolution by applying costly hardware is expensive and time-consuming. In this paper we have discussed different methods to improve the resolution of the single image and we have given a comparison of different Super resolution algorithms for standard images based on PSNR and SSIM ...

This paper investigates the use of Structural Similaritys (SSIM) index on the minimized side effect to image watermarking. For fast implementation and more compatibility with the standard DCT based codecs, watermark insertion is carried out on the DCT coefficients and hence a SSIM model for DCT based watermarking is developed. For faster implementation, the SSIM index is maximized over independ...

In image processing, image similarity indices evaluate how much structural information is maintained by a processed image in relation to a reference image. Commonly used measures, such as mean squared error (MSE) and peak signal to noise ratio (PSNR), ignore the spatial information (e.g. redundancy) contained in natural images, which can lead to an inconsistent similarity evaluation from the hu...