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ns featured almost 2,800 items of coins and stamps in three sessions with good sale rate. The Huachen Auctions also set a special session of photographs under the condition of largescale decline of auction sessions. There was a palpable dull thud of disappointment that acpanied the return of the imperial entourage of Zhen Huan to her homeland. It followed a couple years of hushed excitement as Chinese fans were fed tidbits about their proud concubine who was supposed to conquer the high ground of the North American market. Zhen Huan is, of course, the title character of The Legend of Zhen Huan, a 2022 television series that swept China off its feet and later took other Asian countries by storm. Two years ago, it was reported that HBO, a premium cable service headquartered in the United States, was going to air it in North America after some modification. Now, a condensed version that provides English subtitles but no dubbing has finally been made available on Netflix for online streaming. This version, highly anticipated as a milestone in China39。s essay titled SelfReliance. If you39。s essay affects me very deeply. Not as an urging to bee self reliant – I39。 work lives easier, but I simply could not digest the fact that that was my sole purpose in life. With no family to support, I was the sole beneficiary of my employment: the paycheck, the benefits, the incentives and the rewards were mine alone. Not much of a purpose in being selfserving, is there? While I was a student, I felt I was leading a purposeful life. Learning new things, broadening my horizons, expanding my life experiences all gave my life a zip and drive that I had not felt since being in survival mode when my kids were small. After graduating college I felt oddly deflated… but by then, China was on my horizon. 。ve been here I have been tasked with nothing more challenging than learning my students39。s own path. He urges the reader to find rectitude and lead a moral life. He professes that, only by being self reliant, as opposed to relying on the government and being dictated to by society, can one begin leading a decent and purposeful life. He avers that such a life is the only life worth living. I agree with him. This essay was written during a time of social upheaval in America, and it is rather odd that Emerson authored it, as he was a part of the upper crust of society at the time. It just so happened that he looked around him, at the indolence and the wantonness of the people in his circle。s lost, I believe, are the interesting setups and pauses that illuminate the Chinese art of storytelling. Much of the plot is still there. It is the flavor that was sacrificed. The American edition uses the framework of the Empress Dowager in her senior years reminiscing at the beginning and the end of each episode, hinting at what39。s Poly Theater. Their show, titled Ulan Muqir on the Grassland, depicted the history and development of the art troupe. Being from the region allowed me to embrace the culture of Inner Mongolia and being a member of the troupe showed me where I belonged, Nasun, the art troupe39。t have a formal stage. The audience just sat on the grass. Usually, the performances became a big party with local people joining in. For him, the rewarding part about touring isn39。s Shaanxi province pass through a stop on the ancient Silk Road, Gansu39。wbarb 和 woman 的融合圖像 39。)。 %下面進行小波變換域的圖像融合 c=c1+c2。 for i=1:sizec1(2) c1(i)=*c1(i)。 %用小波函數(shù) sym4 對 X1 進行 2 層小波分解 [c1,s1]=wavedec2(X1,2,39。colormap(map1)。 X1=X。 title(39。map2=map。 whos(39。)。image(ca2)。mat39。) %保留小波分解第二層低頻信息,進行圖像的壓縮,此時壓縮比更大 %第二層的低頻信息即為 ca2,顯示第二層的低頻信息 ca2=appcoef2(c,s,39。第一次壓縮圖像的大小為: 39。 title(39。 %改變圖像的高度 ca1=*ca1。,1)。分解后低頻和高頻信息 39。v1,d1]。,c,s,39。39。,1)。 h1=wrcoef2(39。a39。 cd1=detcoef2(39。,c,s,1)。39。) %對圖像用 小波進行 2 層小波分解 [c,s]=wavedec2(X,2,39。壓縮前圖像 X 的大小: 39。colormap(map) title(39。)。image(wcodemat(blur2,192))。 end end %通過處理后的小 波系數(shù)重構(gòu) 圖像 blur2=waverec2(c,l,39。 csize=size(c)。 %對去噪后的圖像做銳化處理 blur2=Xdenoise。image(Xdenoise)。,c,s,39。wv39。)。含噪聲的圖像 Xnoise39。原始圖像 X39。 figure(1)。seed39。 3 MATLAB 仿真 下面 先 利用小波分析 對含噪 的 二維圖像 wbard 進行去噪處理, 對比去噪效果, 然后對去噪后的圖像進行銳化處理。小波分析是以上兩種方法的權(quán)衡結(jié)果, 傅立葉分析 在所有點的分辨率都是原始圖像的尺度 , 但 我們可能不需要這么大的分辨率,而單純的時域分析又顯 得太粗糙,小波分析的多尺度分析特性為用戶提供了更靈活的處理方法, 可以選擇任意的 分解層數(shù) ,用近 可能少的計算量得到我們滿意的結(jié)果。 由于小波分析固有的時頻特性,我們可以在時頻兩個方向?qū)ο禂?shù)進行處理,這樣就可以對我們感興趣的 部分提供不同的壓縮精度。 ③ 進行逆小波變換。 半軟閥值函數(shù) 該方法通過選擇合適的閾值 T1和 T2, 可以在軟閥 值方法和硬閾值方法之間達到很好的折中。在 小波閾值收縮去噪法中最為重要的就是如何選擇閾值和閾值函數(shù), 大多數(shù)閥 值 選擇過程是針對一組小波系數(shù),即根據(jù)本組小波系數(shù)的統(tǒng)計特性,計算出一個閾值。 小波應(yīng)用圖像處理的本質(zhì)是一個函數(shù)逼近問題,小波可以構(gòu)成 Hilbert 空間的規(guī)范正交基,給出了圖像的多尺度表示: ? ? ???? ? ?????? ZnJj Zn nJnJnJnJ ffx11 , ,)(f ???? 對圖像的稀疏逼近為圖像的高效壓縮等圖像處理 提供了可能。圖像處理的兩個基本問題是作為輸入的 Q0 和算子 T 的建模,它們是相對獨立但又緊密相連的: 算子 T 的性能很大程度上取決于輸入數(shù)據(jù)的模型。對于一幅灰度照片,它上面點的明暗程度需用不同的數(shù)值代表。 雙 尺度 關(guān)系與分解關(guān)系 )(t? 與