DCT-based image/video coding is still popular now. In this paper, a novel embedded image coding schemes based on integer reversible DCT is proposed. It integrates lossy and lossless coding schemes perfectly. The transform is implemented by factoring the float DCT transform matrix into a series of integer reversible transform matrices. We apply the series of matrices to image samples, and encode the coefficients by several effective coding algorithms. Our simulation results show that the integer DCT coding method is superior to the float DCT coding method for lossless coding, and the performs are close for lossy coding.EI
For transform image coding, we sometimes need to make tradeoffs among subimage size, computational e...
A new method for low complexity image coding is presented, that permits different settings and great...
Coding of arbitrarily shaped image segments is an important tool to achieve object-based coding, whi...
JPEG, as an international image coding standard based on DCT and Huffman entropy coder, is still pop...
A discrete cosine transform (DCT) can be easily implemented in software and hardware for the JPEG an...
Abstract—Image compression encoding is one of the key techniques in modern multimedia and communicat...
AbstractInteger DCTs have important applications in lossless coding. In this paper, an integer DCT o...
In this paper, a new method to achieve lossless compression of two-dimensional images based on the d...
Integer DCTs have important applications in lossless coding. In this paper, an integer DCT of radix-...
This paper presents a novel variance of subregions and discrete cosine transform based image-coding ...
The discrete cosine transforms (DCTs) have found wide applications in image/video compression (image...
We present a reversible watermarking scheme which achieves perfect restoration of both the embedded ...
Integer lapped orthogonal transforms (LOTs) are vital technologies for the unification of lossless a...
A color transform is necessary for better color image coding. In this paper, Me concentrate on a com...
At the internet age, transmittal of video signal in digital form is very common. Among various video...
For transform image coding, we sometimes need to make tradeoffs among subimage size, computational e...
A new method for low complexity image coding is presented, that permits different settings and great...
Coding of arbitrarily shaped image segments is an important tool to achieve object-based coding, whi...
JPEG, as an international image coding standard based on DCT and Huffman entropy coder, is still pop...
A discrete cosine transform (DCT) can be easily implemented in software and hardware for the JPEG an...
Abstract—Image compression encoding is one of the key techniques in modern multimedia and communicat...
AbstractInteger DCTs have important applications in lossless coding. In this paper, an integer DCT o...
In this paper, a new method to achieve lossless compression of two-dimensional images based on the d...
Integer DCTs have important applications in lossless coding. In this paper, an integer DCT of radix-...
This paper presents a novel variance of subregions and discrete cosine transform based image-coding ...
The discrete cosine transforms (DCTs) have found wide applications in image/video compression (image...
We present a reversible watermarking scheme which achieves perfect restoration of both the embedded ...
Integer lapped orthogonal transforms (LOTs) are vital technologies for the unification of lossless a...
A color transform is necessary for better color image coding. In this paper, Me concentrate on a com...
At the internet age, transmittal of video signal in digital form is very common. Among various video...
For transform image coding, we sometimes need to make tradeoffs among subimage size, computational e...
A new method for low complexity image coding is presented, that permits different settings and great...
Coding of arbitrarily shaped image segments is an important tool to achieve object-based coding, whi...