This paper describes a recently created image database, TID2013, intended for evaluation of full-reference visual quality assessment metrics. With respect to TID2008, the new database contains larger number (3000) test images obtained from 25 reference images, 24 types distortions each image, and 5 levels type distortion. Motivations introducing 7 one additional level are given; examples distorted presented. Mean opinion scores (MOS) have been collected by performing 985 subjective...

In this contribution, a new image database for testing full-reference quality assessment metrics is presented. It based on 1700 test images (25 reference images, 17 types of distortions each image, 4 levels type distortion). Using database, 654 observers from three different countries (Finland, Italy, and Ukraine) have carried out about 400000 individual human judgments (more than 200 distorted image). The obtained mean opinion scores the considered can be used evaluating performances visual...

A maximum-likelihood method for estimating hyperspectral sensors random noise components, both dependent and independent from the signal, is proposed. image locally jointly processed in spatial spectral dimensions within a multicomponent scanning window (MSW), as small 7 × spatial-spectral pixels. Each MSW regarded an additive mixture of spectrally correlated fractal Brownian motion (fBm)-samples noise. The main advantage proposed its ability to accurately estimate band variances by using...

We deal with the problem of blind parameter estimation signal-dependent noise from mono-component image data. Multispectral or color images can be processed in a component-wise manner. The main results obtained rest on assumption that texture and parameters problems are interdependent. A two-dimensional fractal Brownian motion (fBm) model is used for locally describing texture. polynomial assumed purpose variance dependence intensity. Using maximum likelihood approach, estimates both...

The object of the study is process lossy image compression. subject two-step approach to providing desired parameters (quality and compression ratio) for different coders. goals are review advantages compression, analyze reasons drawbacks, put forward possible ways get around these shortcomings. Methods used: linear approximation, numerical simulation, statistical analysis. Results obtained: 1) considered main advantage that, in most applications, it provides substantial improvement accuracy...

Modern imaging systems produce a great volume of image data. In many practical situations, it is necessary to compress them for faster transferring or more efficient storage. Then, compression has be applied. If images are noisy, lossless almost useless, and lossy characterized by specific noise filtering effect that depends on the image, noise, coder properties. Here, we considered modern HEIF applied grayscale (component) different complexity corrupted additive white Gaussian noise. It...

Spaceborne LiDAR systems are crucial for Earth observation but face hardware constraints, thus limiting resolution and data processing. We propose integrating compressed sensing diffusion generative models to reconstruct high-resolution satellite within the Hyperheight Data Cube (HHDC) framework. Using a randomized illumination pattern in imaging model, we achieve efficient sampling compression, reducing onboard computational load optimizing transmission. Diffusion then detailed HHDCs from...

A problem of lossy compression hyperspectral images is considered. specific aspect that we assume a signal-dependent model noise for data acquired by new generation sensors. Moreover, component the assumed dominant compared to signal-independent component. Sub-band (component-wise) studied first, and it demonstrated optimal operation point (OOP) can exist. For such OOP, mean square error between compressed noise-free attains global or, at least, local minimum, i.e., good effect removal...

AbstractBeginning and development of the USSR practical scientific activity in Antarctic participation its legal continuer – Russian Federation (RF) work different bodies Treaty System are considered. Particular attention is given to an assessment role RF Government current issues national policy existing differences with some Consultative Parties this sphere.Keywords: antarctic policyUSSRRussian FederationhistoryAntarctic Systemstrategy developmentdecrees GovernmentMarine Protected Areas...

Image information technology has become an important perception considering the task of providing lossy image compression with desired quality using certain encoders Recent researches have shown that use a two-step method can perform in very simple manner and reduced time under premise visual accuracy. However, different algorithms. These issues involve accuracy quality. This paper considers application encoder based on discrete wavelet transform (DWT). In experiment, bits per pixel (BPP) is...

Lossy compression of AVIRIS hyperspectral images is considered. An automatic approach to selection parameters depending on noise characteristics in component proposed. Several ways performing lossy are discussed and compared. It shown that order minimize distortions provide a sufficient ratio it reasonable group the channels according evaluated variances subband upon sensor produces sets images. for real life attained ratios can be 8. ..25.

Quite often acquired images are noisy and filtering is a standard operation to improve image quality. "Good" filters should preserve details, edges texture features and, at the same time, suppress noise. Recently it has been demonstrated that transform based able satisfy these requirements well enough much attention paid wavelet filter design. In this paper shown another kind of filters, namely, discrete cosine (DCT) an effective tool competes with state art methods. An additive noise case...

This letter presents an advanced discrete cosine transform (DCT)-based image compression method that combines advantages of several approaches. First, is divided into blocks different sizes by a rate-distortion-based modified horizontal-vertical partition scheme. Statistical redundancy quantized DCT coefficients each block reduced bit-plane dynamical arithmetical coding with sophisticated context modeling. Finally, post-filtering removes blocking artifacts in decompressed images. The...

This work addresses the problem of signal-dependent noise removal in images. An adaptive nonlinear filtering approach orthogonal transform domain is proposed and analyzed for several typical environments DCT domain. Being applied locally, that is, within a window small support, expected to approximate Karhunen-Loeve decorrelating transform, which enables effective suppression components. The detail preservation ability filter allowing not destroy any useful content images especially...

This paper concerns lossy compression of images corrupted by additive noise. The main contribution the is that analysis carried out from viewpoint compressed image visual quality. Several coders for which ratio controlled in different manner are considered. Visual quality metrics most adequate considered application (WSNR, MSSIM, PSNR-HVS-M, and PSNR-HVS) used. It demonstrated under certain conditions can be slightly better than original noisy due to filtering through compression. "optimal"...