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We present a per-channel framework for extending monochrome barcodes to color for display applications, offering increased data rates and capacity. Data is independently encoded into barcodes, incorporated within a color image as the red (R), green (G), and blue (B) channels and decoded from the corresponding R, G, and B channels in the image of the displayed barcode captured with a smartphone. Using...
The paper discusses the use of existing metrics, such as HDR-VDP and extensions of MS-SSIM and PSNR, for prediction of quality in high dynamic range (HDR) images and video. The discussion is based on the experience in using those metrics to evaluate and improve image compression for the new JPEG XT standard, and video compression for the LumaHDR open source codec. The paper explains why existing non-HDR...
We propose a method for the color stabilization of cinema shots coming from different cameras that use unknown logarithmic encoding curves. The log-encoding curves are approximated by a concatenation of gamma-curves, whose values are accurately computed using image matches. The color stabilization procedure, based on the generic color processing pipeline of a digital camera, can be performed after...
Sparse decomposition has been widely used for different applications, such as source separation, image classification, image denoising and more. This paper presents a new algorithm for segmentation of an image into background and foreground text and graphics using sparse decomposition and total variation minimization. The proposed method is designed based on the assumption that the background part...
The High Efficiency Video Coding (HEVC) standard includes support for a large range of image representation formats and provides an excellent image compression capability. The High Efficiency Image File Format (HEIF) offers a convenient way to encapsulate HEVC coded images, image sequences and animations together with associated metadata into a single file. This paper discusses various features and...
We present a novel lossless image compression algorithm. It achieves better compression than popular lossless image formats like PNG and lossless JPEG 2000. Existing image formats have specific strengths and weaknesses: e.g. JPEG works well for photographs, PNG works well for line drawings or images with few distinct colors. For any type of image, our method performs as good or better (on average)...
Photoelasticity images and videos contain information about the stress distribution in birefringent materials. Yet, its processing has difficulties in regions with high-stress concentrations. Making the material fail under load application. This paper identifies such regions by analyzing the intensity changes contained in photoelasticity videos. The evaluation is by the summa of each Euclidean distance...
The rapid development of data communication in modern era demands secure exchange of information. Steganography is an established method for hiding data from an unauthorised access. Steganographic techniques hide secret data in different file formats such as: image, text, audio, and video. Invisibility, payload capacity, and security in terms of PSNR and robustness are the key challenges to steganography...
Over the years, data hiding has been seen as a useful tool to protect users' privacy. In this paper, a novel reversible data hiding scheme, which utilizes improved SMVQ (Side-match Vector Quantization) indices and embeds privacy data with higher counts indices, is proposed for color images. As a result, it improves Yang's scheme, which employs half of the VQ indices in codebook to embed privacy data,...
The sampled filter array sensor is widely used in image capturing devices. For example, the color filter array image sensor is used in digital still cameras, mobile phones, etc. Traditionally, sampled RGB images are first interpolated to produce full-resolution RGB images and then converted to the Yuv format. These Yuv images or videos are encoded. In this paper, we propose a directing encoding method,...
We propose a pseudo-sequence-based scheme for light field image compression. In our scheme, the raw image captured by a light field camera is decomposed into multiple views according to the lenslet array of that camera. These views constitute a pseudo sequence like video, and the redundancy between views is exploited by a video encoder. The specific coding order of views, prediction structure, and...
Linear multi-component transforms (MCTs) are commonly employed for enhancing the coding performance for the compression of natural color images. Popular MCTs such as the RGB to Y'CbCr transform are not optimized specifically for any given input image. Data-dependent transforms such as the Karhunen-Loève Transform (KLT) or the Optimal Spectral Transform (OST) optimize some analytical criteria (e.g...
High Dynamic Range (HDR) image and video technology aims at conveying the full range of perceptible shadow and highlight details with sufficient precision. HDR is regarded by many experts as the next evolution in digital media. However, industrial broadcasters have concerns regarding the bandwidth overhead that this new technology entails. While many consider that broadcasting HDR content would increase...
There are many methods for compressing color images nowadays and most of them are lossy. However, in many important situations, lossless color image compression is irreplaceable. In this paper, we propose an efficient lossless color image compression framework. In this framework, for an RGB image, it is first decorrelated via a reversible color transform. In the new color space, the color components...
Quantitative microscopy has improved conventional diagnostic method through better comprehension of microscopic features from a clinical point of view. The extraction of the nucleus from the blood smear images of white blood cells (WBC) gives the profitable data to specialists for classification of various types of disease as the vast majority of the illnesses present in the body can be distinguished...
Tone mapping can compress the color range of HDR (high dynamic range) image to produce its LDR (low dynamic range) image. However, without preserving the original scene detail, tone mapping may produce various artifacts and their fidelity will be severely decreased. In this paper, we propose a new detail-preserving refinement method to efficiently improve the fidelity of tone mapping. Its overall...
Considerable research efforts have been devoted to stereo image compression. However, most of them focused on the luminance and ignored the chromatic information. Consequently, in this paper we propose a stereo color image coding method based on colorization. The main idea is to compress one view of the stereo pair using a standard coding method, while for the other view, only the luminance component...
This paper studies the lossless compression of rectified light-field images captured by plenoptic cameras, exploiting the high similarity existing between the subaperture images, or views, composing the light-field image. The encoding is predictive, where one sparse predictor is designed for every region of a view, using as regressors the pixels from the already transmitted views. As a first step,...
This paper gives a new method for image feature extraction named “Fuzzy Block Truncation Coding”. Performance of Fuzzy Block Truncation Coding for classification with different methods of pre-processing, in various color spaces is analyzed. Fuzzy Block Truncation Coding is used to extract features from images in different color spaces such as RGB, YUV, YCrCb, HSV and LUV. Different classifiers such...
Saliency detection is a powerful tool for many applications because it can provide valuable information reflecting human visual attention. Quadtree decomposition is a classical and efficient image operator which can divide image into square blocks in different scales. The blocks in smaller size contain valuable information such as edges and texture. In image lossy compression or similar applications,...
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