Image Compression Techniques: A Review - IJEDR.
Abstract: LDAThis research paper presents extensive survey on various techniques of Image Compression using both PCA and LDA. utilizes. the label information in finding informative projection. It is used to find a linear combination of features which characterizes or separates two or more classes of objects or events.
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Abstract- In image compression, we can reduce the quantity of pixels used in image representation without excessively change image Visualization. Reducing image size enhance images sharing, transmitting and storing. This paper examines the performance of a set of lossless data compression algorithms which are RLE.
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Research activities in image coding have been focused on the DWT, which has become a standard tool in image compression applications because of their data reduction capability (10,16,17). In DWT, the entire image is transformed and compressed as a single data object rather than block by block as in a DCT based compression system.
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In the research paper, the novel image compression technique is proposed which is based on the spatial domain which is quite effective for the compression of images. However, the performance of the proposed methodology is compared with the conventional.
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Image compression is much necessary to improve storage capacity of images and also for utilizing transmission bandwidth. There are two types of image compression techniques lossless and lossy image compression technique. In this paper we are discussing some of lossy image compression techniques. As the demand and.
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This paper presents various techniques used for image compression. The major need for image compression is to decrease the size the image for storage purpose without degrading the quality of the image. The decrease in image size allows more images to be stored in a specified amount of disk or memory space. This.
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At one point there was a lot of research into dual-layer compression to help with this (split the image into two layers -- one that could be effectively compressed lossless, the other lossy). Lossless compression of text, vector graphics, and photographic raster all have different best methods.