In this paper, we present efficient hardware implementation of multiplication free one-bit transform (MF1BT) based and constraint one-bit transform (C-1BT) based motion estimation (ME) algorithms, in order to provide low bit-depth representation based full search block ME hardware for real-time video encoding. We used a source pixel based linear array (SPBLA) hardware architecture for low bit depth ME for the first time in the literature. The proposed SPBLA based implementation results in a genuine data flow scheme which significantly reduces the number of data reads from the current block memory, which in turn reduces the power consumption by at least 50% compared to conventional 1BT based ME hardware architecture presented in the literature. Because of the binary nature of low bit-depth ME algorithms, their hardware architectures are more efficient than existing 8 bits/pixel representation based ME architectures.Index Terms-Low bit-depth motion estimation, motion estimation hardware, source pixel based linear arrays.

In this work, a high dynamic range (HDR) image generation method using a single input image is presented. The proposed approach generates over-and under-exposed images by making use of a novel adaptive histogram separation scheme. Thus, it becomes possible to eliminate ghosting effects which generally occur when several input image containing camera/object motion are utilized in HDR imaging. Additionally, it is proposed to utilize a fuzzy logic based approach at the fusion stage which takes visibility of the inputs pixels into account. Since the proposed approach is computationally light-weight, it is possible to implement it on mobile devices such as smart phones and compact cameras. Experimental results show that the proposed approach is able to provide ghost-free and improved HDR performance compared to the existing methods 1 .

No abstract

No abstract

Özetçe Bu çalÕúmada özellikle düúük güçlü mobil cihazlar için uygun, düúük bit gösterimi temelli bir hareket kestirimi yaklaúÕmÕ ve donanÕm mimarisi önerilmiútir. Önerilen yöntemde hareket kestirimi iúlemi, gray kodlanmÕú piksellerin bit düzlemlerinden, belirli sayÕdaki en de÷erliksiz düzlemin kesilmesi ve kalan bit düzlemlerinin uyumlanmasÕ ile gerçekleútirilmiútir. Deneysel sonuçlar önerilen yöntemin di÷er bir-kesme temelli yöntemlere göre daha üstün bir hareket kestirimi baúarÕmÕna sahip oldu÷unu göstermiútir. Tasarlanan donanÕm mimarisi di÷er 8-bit/piksel temelli mimarilere göre çok küçük bir yonga alanÕna ve düúük güç tüketimine sahip oldu÷u için güncel kodlayÕcÕlarla kolayca tümleútirilebilir. AbstractIn this paper, an efficient low bit-depth representation based motion estimation approach which is particularly suitable for low-power mobile devices is proposed. Motion estimation is carried out using bit truncated gray-coded image pixels in the proposed approach. The hardware architecture of the proposed motion estimation method is also designed to show the effectiveness of the proposed approach. It is shown that the proposed approach provides improved motion estimation accuracy compared to the other bit-truncation based approaches. The proposed hardware architecture has low hardware complexity and consumes very low power compared to the 8-bits/pixel based hardware architectures thus, it can be easily integrated to the state of the art video encoders.978-1-4244-4436-6/09/$25.00 ©2009 IEEE 978-1-4244-4436-6/09/$25.00 ©2009 IEEE