Showing papers on "Alpha compositing published in 2017"

Semantic portrait color transfer with internet images

Abstract: We present a novel color transfer method for portraits by exploring their high-level semantic information. First, a database is set up which consists of a collection of portrait images download from the Internet, and each of them is manually segmented using image matting as a preprocessing step. Second, we search the database using Face++ to find the images with similar poses to a given source portrait image, and choose one satisfactory image from the results as the target. Third, we extract portrait foregrounds from both source and target images. Then, the system extracts the semantic information, such as faces, eyes, eyebrows, lips, teeth, etc., from the extracted foreground of the source using image matting algorithms. After that, we perform color transfer between corresponding parts with the same semantic information. We get the final transferred result by seamlessly compositing different parts together using alpha blending. Experimental results show that our semantics-driven approach can generate better color transfer results for portraits than previous methods and provide users a new means to retouch their portraits.

A Novel Pan-Sharpening Framework Based on Matting Model and Multiscale Transform

Abstract: Pan-sharpening aims to sharpen a low spatial resolution multispectral (MS) image by combining the spatial detail information extracted from a panchromatic (PAN) image. An effective pan-sharpening method should produce a high spatial resolution MS image while preserving more spectral information. Unlike traditional intensity-hue-saturation (IHS)- and principal component analysis (PCA)-based multiscale transform methods, a novel pan-sharpening framework based on the matting model (MM) and multiscale transform is presented in this paper. First, we use the intensity component (I) of the MS image as the alpha channel to generate the spectral foreground and background. Then, an appropriate multiscale transform is utilized to fuse the PAN image and the upsampled I component to obtain the fused high-resolution gray image. In the fusion, two preeminent fusion rules are proposed to fuse the low- and high-frequency coefficients in the transform domain. Finally, the high-resolution sharpened MS image is obtained by linearly compositing the fused gray image with the upsampled foreground and background images. The proposed framework is the first work in the pan-sharpening field. A large number of experiments were tested on various satellite datasets; the subjective visual and objective evaluation results indicate that the proposed method performs better than the IHS- and PCA-based frameworks, as well as other state-of-the-art pan-sharpening methods both in terms of spatial quality and spectral maintenance.

RGB channel based decision tree grey-alpha medical image steganography with RSA cryptosystem

Abstract: This paper presents the novelty in sensitive data transmission of patient medical records. The secret medical data is hidden inside scanned grey medical image or magnetic resonance image using the red, green, blue, and alpha (RGBA) image and with the help of decision tree. In this technique, alpha channel will be separated from the RGBA image and merged to the medical grey image to improve the hiding capacity. RSA cryptosystem is used to encrypt the medical data, and divided into various blocks using dynamic key. In steganography process, organize the grey-alpha channel medical cover image into various blocks using dynamic key. Secret cipher blocks are assigned to grey-alpha channel medical cover image blocks using Breadth First Search and decision tree, for data embedding. Performance analysis is observed using various performance measure parameters between various medical stego and cover images.

Video image data coding method and device, and video image data decoding method and device

Abstract: The invention provides a video image data coding method and device, and a video image data decoding method and device and relates to the technical field of video coding and decoding. The problem that in the prior art, an alpha channel needs to be coded independently, so the system complexity is increased, and a corresponding relationship of an image and the alpha channel cannot be ensured can be solved. The invention comprises the steps of obtaining image data of video images, wherein the image data comprises data of a first format and non-color channel data; combining the data of the first format and the non-color channel data, thereby obtaining combined image data of a second format; and coding the combined image data of the second format. According to the scheme of the method and the device, the alpha channel does not need to be coded independently, the corresponding relationship of the image and the alpha channel is ensured, and the system complexity is reduced.

Comprehensive Data Hiding Technique for Discrete Wavelet Transform-Based Image Steganography Using Advance Encryption Standard

Abstract: The steganography is the discipline of trouncing data into innocuous media in a manner that reality of the hidden data remains invisible to an antagonist. Varieties of methods have been developed over time in the area of image steganography. Robust steganography technique increases data protection from an adversary even if an attacker clutches the knowledge about the embedding process. Modern information security system combines both cryptography and steganography techniques. This paper proposes an image steganography method, at the initial stage secret image is encrypted using advance encryption standard (AES) and afterwards hide the results of AES into the picture (i.e. cover media or cover image) with the assistance of Haar Discrete Wavelet Transform and alpha blending. These efforts ensure that the proposed data hiding mechanism gives higher imperceptibility and trustworthiness which is the essential requirements of any steganography technique. All practical implementation perform on MATLAB.

An enhanced approach in Image Mosaicing using ORB Method with Alpha blending technique

Abstract: Image mosaicing is one of the ongoing area of research of computer graphics and computer vision. One of the popular techniques of image mosaicing is image stitching. There are mainly two approaches namely direct techniques and feature based technique. In direct technique, the intensity of the pixels of the image is compared with each other, and feature based techniques determines the relationship between images based on the features extracted from the processed images. This paper mainly focuses on individual algorithms of feature detectors and descriptors. The steps of image mosaicing are highlighted and the results are compared. The image is fed as the input. The ORB feature extraction method with Alpha blending technique extracts the features from the image. The third step computes the extracted features using homography. Then after the features are mapped with respect to the input image and blending of the image is carried out. The last step an image masaicing system depicted the final output.

Image processing method and device and storage medium

Abstract: The embodiment of the invention discloses an image processing method, an image processing device and a storage medium, and aims to eliminate large-size noisy points caused by lighting environment variations and achieve an effect of self-adaptive noise cancellation. The image processing method provided by the embodiment of the invention comprises the following steps: performing green curtain sectional drawing processing on an acquired current image frame so as to obtain first shielded images, wherein the first shielded images comprise a first foreground target image and a first background curtain image; according to preset quantile parameters, adjusting alpha channel components of each pixel point in the first shielded images so as to obtain second shielded images, wherein the second shielded images comprise a second foreground target image and a second background curtain image; and replacing the second background curtain image in the second shielded images by a preset background template image, and outputting an image result after the second foreground target image is combined with the backgound template image.

Accelerated Skin Smoothing Effect

Abstract: In one embodiment, a method includes accessing an original image of a person's face to be smoothed. A second image may be generated to include color information corresponding to those of the original image. The color information of the second image may be blurred. A filter image may be generated and may include an Alpha channel and color channels. The Alpha channel may include a mask representing opaque and transparent information, and the color channels may include a smoothed original image. High frequency color information may be determined from the color information of the original image and used to modify the color information of the filter image. A display may be outputted based on an overlay of the modified filter image over the original image.

Information processing apparatus, information processing method, storage medium, and image forming apparatus

Abstract: An object of the present invention is to provide an information processing apparatus that reduces the amount of used memory necessary for alpha blending processing in a printer and enables high-speed printing processing. The present invention is an information processing apparatus including: an overlap determination unit configured to determine, in a case where a drawing object making up page data of a print job to be output to an image forming apparatus is a transparent object having an alpha channel as color information, whether the transparent object overlaps another drawing object; and a conversion unit configured to convert, in a case where the overlap determination unit determines that the transparent object does not overlap the other drawing object, drawing data of the transparent object into drawing data of a drawing object not having an alpha channel as color information.

Third-perspective video synthesis and output system and method for virtual reality project

Abstract: The invention discloses a third-perspective video synthesis and output system and method for a virtual reality project. The system comprises a camera used for shooting a moving image of an operator wearing a VR helmet, holding a locating handle in a hand and operating the VR project in a blue box, an image matting module used for extracting the moving image of the operator, a background extraction module used for extracting a background image in the VR project, a foreground extraction module used for extracting a foreground image in the VR project, and a video synthesis module used for synthesizing the moving image, the background image and the foreground image into a third-perspective video. The third-perspective synthesis and output of the VR project developed based on a Unity3D engine are realized by utilizing an image capture technology and a video matting technology according to a characteristic that the Unity3D VR engine has a foreground alpha channel image output function, so that the problem of application limitation that a VR device only can provide the first perspective is solved.

Efficient Gradient-Domain Compositing Using an Approximate Curl-free Wavelet Projection

Abstract: Gradient‐domain compositing has been widely used to create a seamless composite with gradient close to a composite gradient field generated from one or more registered images. The key to this problem is to solve a Poisson equation, whose unknown variables can reach the size of the composite if no region of interest is drawn explicitly, thus making both the time and memory cost expensive in processing multi‐megapixel images. In this paper, we propose an approximate projection method based on biorthogonal Multiresolution Analyses (MRA) to solve the Poisson equation. Unlike previous Poisson equation solvers which try to converge to the accurate solution with iterative algorithms, we use biorthogonal compactly supported curl‐free wavelets as the fundamental bases to approximately project the composite gradient field onto a curl‐free vector space. Then, the composite can be efficiently recovered by applying a fast inverse wavelet transform. Considering an n‐pixel composite, our method only requires 2n of memory for all vector fields and is more efficient than state‐of‐the‐art methods while achieving almost identical results. Specifically, experiments show that our method gains a 5× speedup over the streaming multigrid in certain cases.

Panorama image splicing method based on multichannel image fusion

Abstract: The invention discloses a panorama image splicing method based on multichannel image fusion. The panorama image splicing method comprises steps of (a) obtaining multiple paths of RGB three-channel images through a splicing type panorama camera, (b) adding an Alpha channel for each path of RGB three-channel image to obtain multiple paths of RGBA four channel images, and (c) performing image fusion on the multiple paths of RGBA four channel images through a computer graphics method to realize globe panorama splicing.

Alpha channel color palette generation method and system during process of WebP image compression and host terminal

Abstract: The invention discloses an Alpha channel color palette generation method and system during a process of WebP image compression and a host terminal and the Alpha color channel color palette generation method is applied to the host terminal. The Alpha channel color palette generation method comprises steps of obtaining a pixel intensity value of the Alpha channel of the Webp image, performing processing on the pixel intensity value to obtain image data to be generated, transmitting the image data to be generated to an FPGA device terminal and calling a core function of an FPGA device terminal in order to make the FPGA device terminal perform parallel processing on the image data to be generated to obtain a color palette generation result, and obtaining the color palette generation result. The Alpha channel color palette generation method and system during the process of WebP image compression and the host terminal call the core function through the host terminal, make the image data to be generated which is obtained through processing the pixel intensity value of the Alpha channel realize parallel processing on the FPGA device terminal, obtain the color palette generation result after the parallel processing from the FPGA device, accelerate the generation of the Alpha channel color palette and improve image compression speed.

Sab - íomha: An Automated Image Forgery Detection Technique Using Alpha Channel Steganography

Abstract: Digital images nowadays have become a very popular way to transfer media. However, their security remains very challenging for at least two reasons; first, images can be easily tampered with the help of software tools; second, originality of the tampered images cannot be verified through a naked-eye.

Video Watermarking using DWT and Alpha Blending Technique

Abstract: In cyber world, protection of copyrighted information is catching its attention due to the accessibility of immense amount of data and its copies in digital form. An efficient method of protecting this copyrighted information is by Digital Watermarking. In this paper, Discrete Wavelet Transform (DWT) and Alpha Blending Techniques are used. The video is converted into frames and DWT is applied on the frames and the watermark, alpha blending technique is applied to embed the watermark in the video frames. Finally Alpha blending extracting technique and inverse discrete wavelet transform is used to extract the watermark from the watermarked video. The robustness of the proposed method is analyzed by PSNR and MSE values.

Image processing device, and superimposed image generation method

Abstract: During a period in which it is necessary to display two or more images in a superimposed manner, an image generation block 54 of an information processing apparatus 10 supplies the data of the image concerned to a superimposition processing block 56. A first image acquisition block 60 and a second image acquisition block 62 of the superimposition processing block 56 acquire a first image and a second image, respectively, to be displayed in a superimposed manner. A luminance range adjustment block 64 adjusts at least one luminance range as required with amount of adjustment corresponding to ± value set to the second image. An output value computation block 68 executes the computation of alpha blending by use of the image after adjustment so as to determine the pixel value of a display image, thereby outputting the determined pixel value to an image output block 58.

Panorama Construction Algorithms

Abstract: In this chapter, we introduce panorama construction algorithms. These algorithms are developed for software processing on a PC, and their real-time implementation is often not possible. Thus, we provide modifications to the already existing algorithms, and develop a new one that can be implemented in hardware, and in real-time. The presented work results in improved image quality and the visually pleasant panorama for the human eye.

3D image synthesis method, mobile terminal and storage medium

Abstract: The invention discloses a 3D image synthesis method. The 3D image synthesis method comprises the following steps: extracting depth information of a to-be-synthesized image when the to-be-synthesized image is provided with an alpha channel A; configuring a corresponding depth channel D of the to-be-synthesized image according to the depth information; replacing the alpha channel A in the to-be-synthesized image with the depth channel D, and storing the replaced image as a 3D image. The invention further discloses a mobile terminal and a storage medium. The technical problem in the prior art that the format of the synthesized 3D image is not universal and the image editing is not supported after the depth information, taken as a prefix or a suffix of an original image, is synthesized into the 3D image is solved.

Alpha Channel Fragile Watermarking for Color Image Integrity Protection

Abstract: This paper presents a fragile watermarking algorithm`m for the protection of the integrity of color images with alpha channel. The system is able to identify modified areas with very high probability, even with small color or transparency changes. The main characteristic of the algorithm is the embedding of the watermark by modifying the alpha channel, leaving the color channels untouched and introducing a very small error with respect to the host image. As a consequence, the resulting watermarked images have a very high peak signal-to-noise ratio. The security of the algorithm is based on a secret key defining the embedding space in which the watermark is inserted by means of the Karhunen–Loeve transform (KLT) and a genetic algorithm (GA). Its high sensitivity to modifications is shown, proving the security of the whole system.

Implementation and Validation of Visual and Infrared Image Fusion Techniques in C# .NET Environment

Abstract: This paper presents the implementation of image fusion techniques by means of an image fusion application “C#ImFuse”, developed in C#.NET. C# programming language is a simple, type-safe, object-oriented language that allows programmers to build a variety of applications. C#ImFuse application implements four fusion methods viz., Alpha Blending (AB), Principle Component Analysis (PCA), Laplacian Pyramid (LP), and Discrete Wavelet Transform (DWT) for a visual and a thermal image (still images) and for real-time images of the Enhanced Vision System (EVS). The performance of these fusion techniques is evaluated using fusion performance metrics. LP based image fusion technique proved to provide better fusion when compared to the other techniques. Source code is provided so that the reader can understand the techniques and use for his research work.

A Secret Sharing Data and Repairing Of Grayscale Document Images with Generation of Authentication Signals

Abstract: With fast advance digital technology image processing is fastest and secure area of research and technology. To hiding a data and repairing with generation of authentication signal are big challenges. To overcome a problem of security a new method is used a secret data hiding and repairing of grayscale document images with generation of authentication signals. An authentication signal is generated for each 2x3 block of input grayscale document image. For generation of authentication signal a grayscale document image content need to binarize. These binaries content transferred into number of share by using Shamir secret sharing scheme. A new plane is used for data hiding called alpha channel plane. This plane adding input grayscale document image to form a Portable Network Graphics (PNG) image which is easy to communication in network. At the time of embedding computed secret value called share mapped with range of alpha channel plane values. At the receiver side process of image authentication one of the block of image marked as tampered if authentication signal of extracted from not match with the current block content. So need to repair data by applied reverse Shamir secret sharing scheme.

Image reconstruction system and method

Abstract: The invention discloses an image reconstruction system and method. The method includes reading the optical coherence tomography data; preprocessing the optical coherence tomography data; performing interval uniform sampling; performing linear interpolation three times; S105 acquiring the value of a sampling point; further processing the data by means of an Alpha blending algorithm and then performing color synthesis and transparency accumulation; dividing the threshold; giving pseudo color to each part of the sample; performing optical coherence tomography reconstruction; calculating the light and shade effect through an illumination model; and obtaining the three-dimensional image reconstruction result at the end. A three-dimensional data set can be established by continuously adjacent two-dimensional images, and the three-dimensional image reconstruction is completed by optical coherence tomography.

Methods for dynamic image color remapping using alpha blending

Abstract: Systems, methods, and computer-readable storage media can be used to perform alpha-projection. One method may include receiving an image from a system storing one or more images. The method may further include alpha-projecting the received image to assign alpha channel values to the received image by projecting one or more pixels of the received image from an original color to a second color and setting alpha channel values for the one or more pixels by determining the alpha channel value that causes each second color alpha blended with a projection origin color to be the original color. The method may further include displaying the alpha-projected image as a foreground image over a background image.