HIS Space Research Articles

Robust adaptive enhancement algorithm for multi-modal high grayscale image displaying on low-bit monitors based on HIS and priori knowledge

Gray-scale images are widely used in many fields, including satellite remote sensing, autonomous driving, medical CT, and X-ray detection, but gray-scale images have many shortcomings, such as high bit, low contrast, and high dynamic ranges. The visual analysis of these images is complicated and limited by people's psychology and physiology, and pseudo-color technology is an effective way to solve this problem. To address the weak adaptive capability, poor robustness, and insufficient generalization of existing pseudo-color enhancement methods, an adaptive enhancement algorithm for high grayscale images based on prior knowledge and HIS space, called APKHHIS, was proposed. Firstly, an adaptive gray-scale image correction mapping algorithm based on original prior knowledge was designed, and the quantization of images with different bit depths is realized. Secondly, to ensure the effectiveness of the enhanced data, an adaptive power compensation method was designed to compensate for the brightness of the gray-scale corrected images. Finally, an adaptive brightness and power correction algorithm was innovatively designed for the first time, which can adaptively adjust the color saturation and spatial brightness of the image more reasonably. To verify the effectiveness of the algorithm proposed in this paper, adaptive enhancement experiments were carried out on multi-modal data sets. The subjective and objective experimental results show that the APKHHIS algorithm can achieve the best performance on various data sets, and has strong robustness and universality, which provides an effective solution for the adaptive enhancement of multi-modal low-quality images.

His Color Space Transformation for Detection of "Pisang Mas" Maturity Based on the Skin Color

Banana is one of the favorite foods in Indonesia, one type of banana that is quite popular is Pisang Mas. Sometimes consumers have difficulty expressing the maturity of bananas at this time. Image processing can be one way to overcome this problem. In this study we will process documented banana images using a method used to change HIS space to extract the characteristics of banana skin color. The characteristic that is taken is the center of the image of a banana that is experienced as much as 15x15 pixels. Images of bananas are 20 pictures for ripe bananas and 20 pictures of raw bananas. The level of success in this study resulted in a value of 100%.

A dual method of constructing hereditarily indecomposable Banach spaces

A new method of defining hereditarily indecomposable Banach spaces is presented. This method provides a unified approach for constructing reflexive HI spaces and also HI spaces with no reflexive subspace. All the spaces presented here satisfy the property that the composition of any two strictly singular operators is a compact one. This yields the first known example of a Banach space with no reflexive subspace such that every operator has a non-trivial closed invariant subspace.

A hereditarily indecomposable Banach space with rich spreading model structure

We present a reflexive Banach space $$\mathfrak{X}_{usm}$$ which is Hereditarily Indecomposable and satisfies the following properties. In every subspace Y of $$\mathfrak{X}_{usm}$$ there exists a weakly null normalized sequence {y n } n , such that every subsymmetric sequence {z n } n is isomorphically generated as a spreading model of a subsequence of {y n } n . Also, in every block subspace Y of $$\mathfrak{X}_{usm}$$ there exists a seminormalized block sequence {z n } and $$T:\mathfrak{X}_{usm} \to \mathfrak{X}_{usm}$$ an isomorphism such that for every n ∈ ℕ, T(z 2n−1) = z 2n . Thus the space is an example of an HI space which is not tight by range in a strong sense.

A Multispectral Image Fusion Algorithm Based on the HIS Space and Improved Wavelet

In order to optimize the multispectral image fusion, the paper proposes a fusion method based on HIS space and improved wavelet. The new method maps the multispectral image to HIS space and acquires components of intensity, hue and saturation. In addition, an improved wavelet algorithm is applied on the fusion of the intensity of multispectral image and the panchromatic image, the algorithm can both consider the fusion method of low-frequency and high-frequency sub-bands: On the low-frequency subband aspect, the paper introduces a border detector operator in order to collect the border information of images that can be the basis of selective fusion method; On the high-frequency sub-band aspect, it applies local-standard-deviation to be the basis of selective and weighted-averaging fusion method. Ultimately, the new HIS components obtain fusion result through reverse transformation. The experiment reveals that the result acquired by this method can improve on the quality of spectral information and spatial information.

Rural Road Detection of Color Image in Complicated Environment

To realize rural road detection in complication environment, a method based on improved FCM (Fuzzy C-Means) and Hough transformation has been proposed. Firstly, the road image is transformed from RGB space into HIS space. Second, the initial clustering center is determined using climbing method looking for image saturation histogram peak in HIS color space and the road area is detected using improved FCM. Finally, after morphological image processing, road boundary is detected using Hough transformation. Experimental results show that the method presented in this paper has good ability to detect the road boundary. The method is robust and not influenced by shadow, water vestige, rainy days and other environmental factors.

Strictly singular non-compact operators on a class of HI spaces

We present a method for constructing bounded strictly singular non-compact operators on mixed Tsirelson spaces defined either by the families (A_n) or (S_n) of a certain class, as well as on spaces built on them, including hereditarily indecomposable spaces.

A New Technology of Remote Sensing Image Fusion

Wavelet packet transform stands out in the field of image fusion for its good frequency characteristics, and pulse coupled neural network (PCNN) has a unique advantage in image processing. To resolve the problem of multi-spectral remote sensing image fusion, in this paper, we put forward an algorithm combined the wavelet packet and PCNN based on HIS transform.The algorithm will be carried out as follows. Firstly, the TM images will be converted into HIS space, and then the luminance component and the high-resolution image will be broken into multi-scale by wavelet packet. Secondly, according to the frequency domain characteristics of the wavelet packet decomposition, we respectively use a method of weighted average in the low-frequency domain and a method of PCNN in the high frequency domain to select reconstruction coefficient.We can get a fused luminance component by taking inverse wavelet packet transform to be reconstructed. Finally, we can obtain the fusion image by taking inverse HIS transform. The experimental results show that the algorithm can be not only to retain the spectral information, but also greatly improve the spatial resolution of multispectral images, has a good fusion effect

Subsequential minimality in Gowers and Maurey spaces

We define block sequences $(x_n)$ in every block subspace of a variant of the space of Gowers and Maurey so that the map $x_{2n-1}\mapsto x_{2n} $ extends to an isomorphism. This implies the existence of a subsequentially minimal HI space, which solves a question in \cite{FR}.

An Improved Technology of Remote Sensing Image Fusion Based Waveled Packet and Pulse Coupled Neural Net

To resolve the problem of multi-spectral remote sensing image fusion ?in this paper, we put forward an algorithm based on the wavelet packet and pulse-coupled neural network (PCNN) of remote sensing image fusion .The algorithm will be carried out as follows. Firstly, the TM images will be converted into HIS space, and then the luminance component and the high-resolution image will be broken into multi-scale by wavelet packet. Secondly, according to the frequency domain characteristics of the wavelet packet decomposition, we respectively use a method of weighted average in the low-frequency domain and a method of PCNN in the high frequency domain to select reconstruction coefficient.We can get a fused luminance component by taking inverse wavelet packet transform to be reconstructed. Finally, we can obtain the fusion image by taking inverse HIS transform. The experimental results show that the algorithm can be better to retain the image edge and texture details. Keywords : image fusion; HSI; wavelet packet; pulse coupled neural networks DOI: http://dx.doi.org/10.11591/telkomnika.v10i3.617

A New Algorithm of Fast-Generated Panoramic Images

The new algorithm of fast-generated panoramic images this paper puts forward is to extract the feature points of images by the improved SIFT algorithm, and use Euclidean distance combining the K-D tree structure to realize the rapid initial feature matching. Then, based on these initial matching points and the theory of random sampling consistent algorithm, the purification of feature points is realized. At last, the introduction of correction coefficient makes it possible to eliminate fusion ghosts, and HIS space image fusion is applied in order to eliminate the brightness differences. It is verified by the experiments that on the premise of generation of quality guarantee, the new algorithm greatly improves the generation efficiency of panorama images.

Detection and Compensation of Shadows based on ICA Algorithm in Remote Sensing Image

The shadow is one of the basic features of remote sensing images, especially high resolution remote sensing images, and greatly reduces the information of earth targets. The detection and compensation of shadow is important hotspot and difficulty of remote sensing image processing. In view of the present shadow detection and compensation characteristics of remote sensing image, this paper puts forward a mew method by using independent component analysis (ICA) algorithm, grayscale histogram, RGB channels, HIS space transformation and multi-threshold retinex to achieve the shadow detection and compensation. The shadow detection and compensation were verified by the QuickBird remote sensing image, the shadow correct detection rate reached to 80%. The results show that this proposed method with high precision, easy operation, avoided the complex mathematical morphological operation and has good effect of shadow detection and compensation.

A [formula omitted] saturated Banach space with tight structure

It is shown that variants of the HI methods could yield objects closely connected to the classical Banach spaces. Thus we present a new c 0 saturated space, denoted as X 0 , with rather tight structure. The space X 0 is not embedded into a space with an unconditional basis and its complemented subspaces have the following structure. Everyone is either of type I, namely, contains an isomorph of X 0 itself or else is isomorphic to a subspace of c 0 (type II). Furthermore for any analytic decomposition of X 0 into two subspaces one is of type I and the other is of type II. The operators of X 0 share common features with those of HI spaces.

A Simple Algorithm to Strengthen the Brightness of Color Images

This paper puts forward a simple algorithm to make color images lighter based on Wavelet transformation and histogram smoothing. This algorithm uses HIS space which is based on human visual features. Without changing hue, it can conduct histogram smoothing in low brightness frequency domain through wavelet decomposition and make the images lighter, which at the same time avoids vagueness of details and increase of noises. According to experiment results, this algorithm can make low brightness color images lighter effectively with low time complexity.

Color image enhancement based on HVS and PCNN

To enhance color images more effectively, a novel strategy is presented in this paper. We firstly translate the image to be enhanced from RGB space into HIS space, secondly keep its H component unchanged, and thirdly stretch its S component exponentially, and at last process its I component in the following manner: couple both the gray value and the spatial information into an inner activity item of corresponding neuron, integrate the human visual system into a dynamic component of corresponding neuron, and compare the inner activity item with dynamic component to obtain the enhanced image. Experiments demonstrate the effectiveness and validity of our strategy.

On automorphic Banach spaces

A Banach space X will be called extensible if every operator E → X from a subspace E ⊂ X can be extended to an operator X → X. Denote by dens X. The smallest cardinal of a subset of X whose linear span is dense in X, the space X will be called automorphic when for every subspace E ⊂ X every into isomorphism T: E → X for which dens X/E = dens X/TE can be extended to an automorphism X → X. Lindenstrauss and Rosenthal proved that c0 is automorphic and conjectured that c0 and l2 are the only separable automorphic spaces. Moreover, they ask about the extensible or automorphic character of c0(Γ), for Γ uncountable. That c0(Γ) is extensible was proved by Johnson and Zippin, and we prove here that it is automorphic and that, moreover, every automorphic space is extensible while the converse fails. We then study the local structure of extensible spaces, showing in particular that an infinite dimensional extensible space cannot contain uniformly complemented copies of lnp, 1 ≤ p < ∞, p ≠ 2. We derive that infinite dimensional spaces such as Lp(μ), p ≠ 2, C(K) spaces not isomorphic to c0 for K metric compact, subspaces of c0 which are not isomorphic to c0, the Gurarij space, Tsirelson spaces or the Argyros-Deliyanni HI space cannot be automorphic.

Operators on asymptotic $\ell_p$ spaces which are not compact perturbations of a multiple of the identity

We give sufficient conditions on an asymptotic $\ell_p$ (for $1 < p < \infty$) Banach space to ensure the space admits an operator, which is not a compact perturbation of a multiple of the identity. These conditions imply the existence of strictly singular noncompact operators on the HI spaces constructed by G. Androulakis and the author and by Deliyanni and Manoussakis. Additionally, we show that under these same conditions on the space $X$, $\ell_\infty$ embeds isomorphically into the space of bounded linear operators on $X$.