In this paper, a new partition mapping method is adopted in gamut mapping algorithms (GMAs). It takes both color difference (ΔE) and details into account. Meanwhile, lightness variation is regarded more important than ΔE in low lightness area. Subjective experiment shows that observers prefer proposed method than HPMINDE or SGCK in aspect of similarity to original images.

No abstract

In this paper, a new partition mapping method is adopted in gamut mapping algorithms (GMAs). It takes both color difference (ΔE) and details into account. Meanwhile, lightness variation is regarded more important than ΔE in low lightness area. Subjective experiment shows that observers prefer proposed method than HPMINDE or SGCK in aspect of similarity to original images.

No abstract

<p>Wireless Sensor Networks (WSNs) consist of a large quantity of small and low cost sensor nodes powered by small non rechargeable batteries and furnish with various sensing devices. The cluster-based technique is one of the good perspectives to reduce energy consumption in WSNs. The lifetime of WSNs is maximized by using the uniform cluster location and balancing the network loading between the clusters. We have reviewed various energy efficient schemes apply in WSNs of which we concerted on clustering approach. So, in this paper we have discussed about few existing energy efficient clustering techniques and proposed an Energy Aware Sleep Scheduling Routing (EASSR) scheme for WSN in which some nodes are usually put to sleep to conserve energy, and this helps to prolong the network lifetime. EASSR selects a node as a cluster head if its residual energy is more than system average energy and have low energy consumption rate in existing round. The efforts of this scheme are, increase of network stability period, and minimize loss of sensed data. Performance analysis and compared statistic results show that EASSR has significant improvement over existing methods in terms of energy consumption, network lifetime and data units gathered at BS.</p>