The LOT: transform coding without blocking effects
نویسندگان
چکیده
The Lapped Orthogonal Transform (LOT) is a new tool for block transform coding with basis functions that overlap adjacent blocks [1]-[3]. The LOT can reduce the blocking effect to very low levels. In this paper, an exact derivation of an optimal LOT is presented. The optimal LOT is related to the discrete cosine transform (DCT) in such a way that a fast algorithm for a nearly optimal LOT is derived. Compared to the DCT, the fast LOT requires about 20-30 percent more computations, mostly additions. An image coding example demonstrates the effectiveness of the LOT in reducing blocking effects. Unlike earlier approaches to the reduction of blocking effects, the LOT actually leads to slightly smaller signal reconstruction errors than does the DCT.
منابع مشابه
Reduction of Blocking Effects in Image Coding with a Lapped Orthogonal Transform
The Lapped Orthogonal Transform (LOT) [1][3] is a new transform for block image coding. It has basis functions that overlap adjacent blocks and decay smoothly to zero, and so it can reduce the blocking effect to very low levels, without any data overhead. In t'his paper we show that a quasi-optimal LOT can be computed with an algorithm based on the discrete cosine transform (DCT), with only 30 ...
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عنوان ژورنال:
- IEEE Trans. Acoustics, Speech, and Signal Processing
دوره 37 شماره
صفحات -
تاریخ انتشار 1989