Topic
Run-length encoding
About: Run-length encoding is a research topic. Over the lifetime, 504 publications have been published within this topic receiving 4441 citations. The topic is also known as: RLE.
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Patent•
11 Mar 1987
TL;DR: In this article, a transform approach to image coding where pixels are coded in the order prescribed by a predetermined "List" is proposed, where the code for each pixel is developed by computing a prediction for the pixel based on the known pixel values in the neighborhood of the pixel and subtracting this prediction from the true value of the pixels.
Abstract: A transform approach to image coding where pixels are coded in the order prescribed by a predetermined "List". The code for each pixel is developed by computing a prediction for the pixel based on the known pixel values in the neighborhood of the pixel and subtracting this prediction from the true value of the pixel. This results in a sequence of predominantly non-zero valued pixel prediction errors at the beginning of the encoding process (of each block), and predominantly zero valued pixel prediction errors towards the end of the encoding process. Enhancements to this approach include adaptive encoding, where pixel sequences having expected zero prediction errors are not encoded, and run length encoding of the signals to be transmitted or stored for augmenting the encoding process.
27 citations
Patent•
[...]
15 Nov 1996
TL;DR: In this paper, the authors propose a wireless video display system which excels in portability and ensures the smooth movements of the moving image parts and the clear reproduction of the static image parts by comparing only the video signals of different parts with each other between the continuous front and rear frames of video signals and decoding the video signal which are encoded and transmitted.
Abstract: PROBLEM TO BE SOLVED: To provide a wireless video display system which excels in portability and ensures the smooth movements of the moving image parts and the clear reproduction of the static image parts by comparing only the video signals of different parts with each other between the continuous front and rear frames of video signals and decoding the video signals which are encoded and transmitted. SOLUTION: In regard to the inputted RGB signals, an encoding circuit 12 of a transmitting device 2 compares the video signals with each other between the preceding and next screens and only the parts having changes on both screens are selectively and reversibly encoded and outputted in a run length encoding system. At the same time, the encoding rate is regulated according to the decoding state of a decoding circuit 24 of a display device 3 or the video signals are retransmitted. The data to be transmitted include the control data on the encoding conditions, etc., in addition to the graphic data, and the device 3 writes the encoded graphic data in a memory 25 based on the control data. Then a read control circuit 27 reads out the data, and the RGB signals converted into the analog signals by a DA converter 26 are shown on a display 32 as images.
27 citations
TL;DR: An optimized wavelet filter bank based methodology is presented for compression of electrocardiogram (ECG) signal, which employs a modified thresholding, which improves the compression of signal as compared to earlier existing thresholding technique.
26 citations
TL;DR: A compression method, based on the choice of a wavelet that minimizes the distortion of compression for each electrocardiogram considered, is proposed in this paper.
26 citations
24 May 2009
TL;DR: This paper presents a complete compression system including both lossy and lossless compression schemes, namely the DWT and Run Length Encoding, well suited for intra-cortical neural interface applications.
Abstract: Neural recordings from high-density microelectrode arrays implanted in the cortex require time-frequency domain processing to alleviate the data telemetry bottlenecks of bandwidth and power Our previous work has shown that the energy compaction capability of the Discrete Wavelet Transform (DWT) offers a practical data compression solution that faithfully preserves the information in the neural signals This paper presents a complete compression system including both lossy and lossless compression schemes, namely the DWT and Run Length Encoding Performance tradeoffs and key design decisions for implantable applications are analyzed A 32-channel, 4-level version of the circuit is presented Custom designed in 05µm CMOS, occupying only 575mm2 and consuming 3mW of power (95µW per channel at 25Ks/sec), the implantable compression circuit is well suited for intra-cortical neural interface applications
26 citations