JPEG Compression and Decompression for Color Images Using Lattice Based Structures
01 Jan 2012-pp 550-555
TL;DR: The features like smoothness and lattice structures are taken for images to find and develop the solution of JPEG decompression which uses JPEG compression history estimation and equalize the give color images.
Abstract: Digital color images are compressed using common standards such as JPEG. The compression technique is used in various applications such as imaging and equalization of channels. But the decompression technique is not having enough sources to handle various problems. The process of sampling and sub sampling is done by both compression and decompression. In this paper the images with color planes (3-D) is used and its coefficient is taken for compression with discrete cosine transform of quantization technique. The settings for color plane with JPEG is chosen for an image(1)the color space (2)sampling and sub sampling(3)quantization technique. Here JPEG Compression history settings are used for an image with JPEG operation. The features like smoothness and lattice structures are taken for images to find and develop the solution of JPEG decompression which uses JPEG compression history estimation. Here the method used for JPEG compression and decompression which denotes the above point is effective and equalize the give color images.
Citations
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01 Dec 2014
TL;DR: Parallel Processing Technique (PPT) in Joint Photographic Experts Group (JPEG) compression using Discrete Cosine Transform (DCT) is proposed to reduce the storage space, execution time and effective utilization of bandwidth.
Abstract: Digital image communication is being used in many areas like Remote sensing, Weather forecast, Medical image Satellite applications. Data transformation of images in network is a difficult task because of their size and requirement of image quality. To fulfill this requirement several researchers proposed different Compression and Decompression Techniques, still they required further exploration. In this paper, we proposed Parallel Processing Technique (PPT) in Joint Photographic Experts Group (JPEG) compression using Discrete Cosine Transform (DCT). The main goal of this proposed method is to reduce the storage space, execution time and effective utilization of bandwidth. Experiments are performed on benchmark Red-Green-Blue (RGB) images. We performed time calculations for Encoder, Decoder and also evaluated Root Mean Square Error (RMSE), Peak Signal-to-Noise Ratio (PSNR) and Compression Ratio (CR) values.
4 citations
References
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TL;DR: The Baseline method has been by far the most widely implemented JPEG method to date, and is sufficient in its own right for a large number of applications.
Abstract: For the past few years, a joint ISO/CCITT committee known as JPEG (Joint Photographic Experts Group) has been working to establish the first international compression standard for continuous-tone still images, both grayscale and color. JPEG’s proposed standard aims to be generic, to support a wide variety of applications for continuous-tone images. To meet the differing needs of many applications, the JPEG standard includes two basic compression methods, each with various modes of operation. A DCT-based method is specified for “lossy’’ compression, and a predictive method for “lossless’’ compression. JPEG features a simple lossy technique known as the Baseline method, a subset of the other DCT-based modes of operation. The Baseline method has been by far the most widely implemented JPEG method to date, and is sufficient in its own right for a large number of applications. This article provides an overview of the JPEG standard, and focuses in detail on the Baseline method.
3,944 citations
Book•
01 Jan 1997
TL;DR: Getting Started with DSPs 30: Complex Numbers 31: The Complex Fourier Transform 32: The Laplace Transform 33: The z-Transform Chapter 27 Data Compression / JPEG (Transform Compression)
Abstract: In early 1980s, DSP was taught as a graduate level course in electrical engineering. A decade later, DSP had become a standart part of the ungraduate curriculum.
3,046 citations
TL;DR: An iterative block reduction technique based on the theory of a projection onto convex sets to impose a number of constraints on the coded image in such a way to restore it to its original artifact-free form.
Abstract: The authors propose an iterative block reduction technique based on the theory of a projection onto convex sets. The idea is to impose a number of constraints on the coded image in such a way as to restore it to its original artifact-free form. One such constraint can be derived by exploiting the fact that the transform-coded image suffering from blocking effects contains high-frequency vertical and horizontal artifacts corresponding to vertical and horizontal discontinuities across boundaries of neighboring blocks. Another constraint has to be with the quantization intervals of the transform coefficients. Specifically, the decision levels associated with transform coefficient quantizers can be used as lower and upper bounds on transform coefficients, which in turn define boundaries of the convex set for projection. A few examples of the proposed approach are presented. >
544 citations
TL;DR: Fundamental concepts of color perception and measurement are first presented using vector-space notation and terminology in order to establish the background and lay down terminology.
Abstract: This paper surveys current technology and research in the area of digital color imaging. In order to establish the background and lay down terminology, fundamental concepts of color perception and measurement are first presented using vector-space notation and terminology. Present-day color recording and reproduction systems are reviewed along with the common mathematical models used for representing these devices. Algorithms for processing color images for display and communication are surveyed, and a forecast of research trends is attempted. An extensive bibliography is provided.
534 citations