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New simple and efficient color space transformations for lossless image compression
R Starosolski - Journal of Visual Communication and Image …, 2014 - Elsevier
We present simple color space transformations for lossless image compression and
compare them with established transformations including RCT, YCoCg-R and with the …
compare them with established transformations including RCT, YCoCg-R and with the …
Deep cnn based image compression with redundancy minimization via attention guidance
Almost all compression algorithms try to minimize the one or other type of visual redundancy
present in the image. Compression becomes challenging while considering the preservation …
present in the image. Compression becomes challenging while considering the preservation …
Reversible denoising and lifting based color component transformation for lossless image compression
R Starosolski - Multimedia Tools and Applications, 2020 - Springer
An undesirable side effect of reversible color space transformation, which consists of lifting
steps (LSs), is that while removing correlation it contaminates transformed components with …
steps (LSs), is that while removing correlation it contaminates transformed components with …
Rightful ownership through image adaptive DWT-SVD watermarking algorithm and perceptual tweaking
In this paper, a tailored blended image adaptive watermarking scheme has been presented,
which is based on DWT and SVD. Through this paper an attempt has been made to solve …
which is based on DWT and SVD. Through this paper an attempt has been made to solve …
A content awareness module for predictive lossless image compression to achieve high throughput data sharing over the network storage
The idea of applying integer Reversible Colour Transform to increase compression ratios in
lossless image compression is a well-established and widely used practice. Although …
lossless image compression is a well-established and widely used practice. Although …
An efficient compound image compression using optimal discrete wavelet transform and run length encoding techniques
PV Sundara Rajan, AL Fred - Journal of Intelligent Systems, 2019 - degruyter.com
Reduction in file size leads to reduction in the number of bits required to store it. When data
is compressed, it must be decompressed into its original form bit for bit. Compound images …
is compressed, it must be decompressed into its original form bit for bit. Compound images …
[PDF][PDF] Statistical texture and normalized discrete cosine transform-based automatic soya plant foliar infection cataloguing
Soya beans are an important cash-crop, grown worldwide because of their use as a raw
material in various industries involved in the production of sauces, mayonnaises …
material in various industries involved in the production of sauces, mayonnaises …
Chroma resha**
GM Su - US Patent 10,397,586, 2019 - Google Patents
(57) ABSTRACT A first signal in a first color format is received. The first signal is transformed
to a second signal in a second color format to be compressed using an encoder. Before …
to a second signal in a second color format to be compressed using an encoder. Before …
ColCompNeT: Deep Learning-Based Colorization-Based Coding Network
Converting a grayscale image to a visually plausible and perceptually meaningful color
image is an exciting research topic in computer vision and graphics. However, predicting the …
image is an exciting research topic in computer vision and graphics. However, predicting the …
[PDF][PDF] Novel Color Image Compression Algorithm Based on Quad tree
This paper presents a novel algorithm having two image processing systems that have the
ability to compress the colour image. The proposed systems divides the colour image into …
ability to compress the colour image. The proposed systems divides the colour image into …