Block-based content-adaptive sharpness enhancement

Li, Ping, Shao, Ling and Znamenskiy, Dmitry (2009) Block-based content-adaptive sharpness enhancement. In: ISCE '09 - IEEE 13th International Symposium on Consumer Electronics, 25th - 28th May 2009, Kyoto, Japan.

Full text not available from this repository. (Request a copy)
Official URL:


The contents of a video/TV sequence vary greatly not only across frames but also within the same frame. The existing peaking system like AutoTV where the peaking is made adaptive to the video contents and noise levels at a frame level is not sufficient for the high-end TV picture quality. This paper proposed a block-based content adaptive sharpness enhancement scheme that is able to adapt the peaking to the frame contents at a block level. In the proposed scheme, a frame is divided into a number of n times n blocks. Using some simple content-analysis techniques, each block is classified into categories with different characteristics to Human Visual System (HVS), such as the bright/dark block, the fine-details block, the strong-edge block, the smooth-area block, the skin/face block, etc. Appropriate processing is then applied to each block according to its category. The experimental results show that the proposed block-based content-adaptive peaking scheme achieves a better picture quality than the contentional peaking scheme.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: peaking, sharpness enhancement, high-end TV, content adaptive, block-based
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 22 Jun 2015 14:18
Last Modified: 13 Oct 2019 00:30

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics