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Reconstruction- and example-based super-resolution (SR) methods are promising for restoring a high-resolution (HR) image from low-resolution (LR) image(s). Under large magnification, reconstruction-based methods usually fail to hallucinate visual details while example-based methods sometimes introduce unexpected details. Given a generic LR image, to reconstruct a photo-realistic SR image and to suppress artifacts in the reconstructed SR image, we introduce a multi-scale dictionary to a novel SR method that simultaneously integrates local and non-local priors. The local prior suppresses artifacts by using steering kernel regression to predict the target pixel from a small local area. The non-local prior enriches visual details by taking a weighted average of a large neighborhood as an estimate of the target pixel. Essentially, these two priors are complementary to each other. Experimental results demonstrate that the proposed method can produce high quality SR recovery both quantitatively and perceptually.
標簽： Super-resolution Multi-scale Dictionary Single Image for
上傳時間： 2019-03-28
上傳用戶：fullout
C#遠控源代碼 * TCP network stream (IPv4 & IPv6 support) * Fast network serialization (NetSerializer) * Compressed (QuickLZ) & Encrypted (AES-128) communication * Multi-Threaded * UPnP Support * No-Ip.com Support * Visit Website (hidden & visible) * Show Messagebox * Task Manager * File Manager * Startup Manager * Remote Desktop * Remote Webcam * Remote Shell * Download & Execute * Upload & Execute * System Information * Computer Commands (Restart, Shutdown, Standby) * Keylogger (Unicode Support) * Reverse Proxy (SOCKS5) * Password Recovery (Common Browsers and FTP Clients) * Registry Editor
標簽： QuasarRAT
上傳時間： 2019-04-21
上傳用戶：netangels
在微電網調度過程中綜合考慮經濟、環境、蓄電池的 循環電量，建立多目標優化數學模型。針對傳統多目標粒子 群算法(multi-objective particle swarm optimization，MOPSO) 的不足，提出引入模糊聚類分析的多目標粒子群算法 (multi-objective particle swarm optimization algorithm based on fuzzy clustering，FCMOPSO)，在迭代過程中引入模糊聚 類分析來尋找每代的集群最優解。與 MOPSO 相比， FCMOPSO 增強了算法的穩定性與全局搜索能力，同時使優 化結果中 Pareto 前沿分布更均勻。在求得 Pareto 最優解集 后，再根據各目標的重要程度，用模糊模型識別從最優解集 中找出不同情況下的最優方案。最后以一歐洲典型微電網為 例，驗證算法的有效性和可行性。
上傳時間： 2019-11-11
上傳用戶：Dr.趙勁帥
以后再也不用擔心寫爬蟲ip被封，不用擔心沒錢買代理ip的煩惱了 在使用python寫爬蟲時候，你會遇到所要爬取的網站有反爬取技術比如用同一個IP反復爬取同一個網頁，很可能會被封。如何有效的解決這個問題呢？我們可以使用代理ip，來設置代理ip池。 現在教大家一個可獲取大量免費有效快速的代理ip方法，我們訪問西刺免費代理ip網址 這里面提供了許多代理ip，但是我們嘗試過后會發現并不是每一個都是有效的。所以我們現在所要做的就是從里面提供的篩選出有效快速穩定的ip。 以下介紹的免費獲取代理ip池的方法： 優點：免費、數量多、有效、速度快 缺點：需要定期篩選 主要思路： 從網址上爬取ip地址并存儲 驗證ip是否能使用-（隨機訪問網址判斷響應碼） 格式化ip地址 代碼如下： 1.導入包 import requests from lxml import etree import time 1 2 3 2.獲取西刺免費代理ip網址上的代理ip def get_all_proxy(): url = 'http://www.xicidaili.com/nn/1' headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36', } response = requests.get(url, headers=headers) html_ele = etree.HTML(response.text) ip_eles = html_ele.xpath('//table[@id="ip_list"]/tr/td[2]/text()') port_ele = html_ele.xpath('//table[@id="ip_list"]/tr/td[3]/text()') proxy_list = [] for i in range(0,len(ip_eles)): proxy_str = 'http://' + ip_eles[i] + ':' + port_ele[i] proxy_list.append(proxy_str) return proxy_list 1 2 3 4 5 6 7 8 9 10 11 12 13 14 3.驗證獲取的ip def check_all_proxy(proxy_list): valid_proxy_list = [] for proxy in proxy_list: url = 'http://www.baidu.com/' proxy_dict = { 'http': proxy } try: start_time = time.time() response = requests.get(url, proxies=proxy_dict, timeout=5) if response.status_code == 200: end_time = time.time() print('代理可用：' + proxy) print('耗時:' + str(end_time - start_time)) valid_proxy_list.append(proxy) else: print('代理超時') except: print('代理不可用--------------->'+proxy) return valid_proxy_list 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 4.輸出獲取ip池 if __name__ == '__main__': proxy_list = get_all_proxy() valid_proxy_list = check_all_proxy(proxy_list) print('--'*30) print(valid_proxy_list) 1 2 3 4 5 技術能力有限歡迎提出意見，保證積極向上不斷學習 ———————————————— 版權聲明：本文為CSDN博主「彬小二」的原創文章，遵循 CC 4.0 BY-SA 版權協議，轉載請附上原文出處鏈接及本聲明。 原文鏈接：https://blog.csdn.net/qq_39884947/article/details/86609930
上傳時間： 2019-11-15
上傳用戶：fygwz1982
In the hit CBS crime show Person of Interest, which debuted in 2011, the two heroes—one a former Central Intelligence Agency agent and the other a billionaire technology genius—work together using the ubiquitous surveillance system in New York City to try to stop violent crime. It’s referred to by some as a science fiction cop show. But the use of advanced technology for crime analysis in almost every major police department in the United States may surpass what’s depicted on TV crime dramas such as Person of Interest. Real-time crime cen- ters (RTCCs) are a vital aspect of intelligent policing. Crime analysis is no longer the stuff of science fiction. It’s real.
標簽： Intelligence Analysis Crime
上傳時間： 2020-05-25
上傳用戶：shancjb
New applications such as video conferencing, video on demand, multi- media transcoders, Voice-over-IP (VoIP), intrusion detection, distributed collaboration, and intranet security require advanced functionality from networks beyond simple forwarding congestion control techniques.
標簽： Programmable Networks Active and
上傳時間： 2020-05-26
上傳用戶：shancjb
Emerging technologies such as WiFi and WiMAX are profoundly changing the landscape of wireless broadband. As we evolve into future generation wireless networks, a primary challenge is the support of high data rate, integrated multi- media type traffic over a unified platform. Due to its inherent advantages in high-speed communication, orthogonal frequency division multiplexing (OFDM) has become the modem of choice for a number of high profile wireless systems (e.g., DVB-T, WiFi, WiMAX, Ultra-wideband).
標簽： Broadband Wireless Networks
上傳時間： 2020-05-26
上傳用戶：shancjb
Employing multiple transmit and receive antennas, namely using multi-input multi-output (MIMO) systems, has proven to be a major breakthrough in providing reliable wireless communication links. Since their invention in the mid-1990s, transmit diversity, achieved through space-time coding, and spatial multiplexing schemes have been the focus of much research in the area of wireless communications.
標簽： Communication Systems Coding MIMO for
上傳時間： 2020-05-26
上傳用戶：shancjb
Today’s wireless services have come a long way since the roll out of the conventional voice-centric cellular systems. The demand for wireless access in voice and high rate data multi-media applications has been increasing. New generation wireless communication systems are aimed at accommodating this demand through better resource management and improved transmission technologies.
標簽： Radio Cognitive Software Defined
上傳時間： 2020-05-26
上傳用戶：shancjb
Mobile communication has gained significant importance in today’s society. As of 2010, the number of mobile phone subscribers has surpassed 5 billion [ABI10], and the global annual mobile revenue is soon expected to top $1 trillion [Inf10]. While these numbers appear promising for mobile operators at first sight, the major game-changer that has come up recently is the fact that the market is more and more driven by the demand for mobile data traffic [Cis10].
上傳時間： 2020-05-27
上傳用戶：shancjb
